introduction to machine learning nptel assignment 1 answers 2023

NPTEL Introduction to Machine Learning Assignment 1 Answers 2023

In this post, We have provided answers of NPTEL Introduction to Machine Learning Assignment 1. We provided answers here only for reference. Plz, do your assignment at your own knowledge.

NPTEL Introduction To Machine Learning Week 1 Assignment Answer 2023

1. Which of the following is a supervised learning problem ?

• Grouping related documents from an unannotated corpus.
• Predicting credit approval based on historical data.
• Predicting if a new image has cat or dog based on the historical data of other images of cats and dogs, where you are supplied the information about which image is cat or dog.
• Fingerprint recognition of a particular person used in biometric attendance from the fingerprint data of various other people and that particular person.

2. Which of the following are classification problems?

• Predict the runs a cricketer will score in a particular match.
• Predict which team will win a tournament.
• Predict whether it will rain today.
• Predict your mood tomorrow.

3. Which of the following is a regression task?

• Predicting the monthly sales of a cloth store in rupees.
• Predicting if a user would like to listen to a newly released song or not based on historical data.
• Predicting the confirmation probability (in fraction) of your train ticket whose current status is waiting list based on historical data.
• Predicting if a patient has diabetes or not based on historical medical records.
• Predicting if a customer is satisfied or unsatisfied from the product purchased from ecommerce website using the the reviews he/she wrote for the purchased product.

4. Which of the following is an unsupervised learning task?

• Group audio files based on language of the speakers.
• Group applicants to a university based on their nationality.
• Predict a student’s performance in the final exams.
• Predict the trajectory of a meteorite.

5. Which of the following is a categorical feature?

• Number of rooms in a hostel.
• Gender of a person
• Your weekly expenditure in rupees.
• Ethnicity of a p e rson
• Area (in sq. centimeter) of your laptop screen.
• The color of the curtains in your room.
• Number of legs an animal.
• Minimum RAM requirement (in GB) of a system to play a game like FIFA, DOTA.

6. Which of the following is a reinforcement learning task?

• Learning to drive a cycle
• Learning to predict stock prices
• Learning to play chess
• Leaning to predict spam labels for e-mails

7. Let X and Y be a uniformly distributed random variable over the interval [0,4][0,4] and [0,6][0,6] respectively. If X and Y are independent events, then compute the probability, P(max(X,Y)>3)

• None of the above

9. Which of the following statements are true? Check all that apply.

• A model with more parameters is more prone to overfitting and typically has higher variance.
• If a learning algorithm is suffering from high bias, only adding more training examples may not improve the test error significantly.
• When debugging learning algorithms, it is useful to plot a learning curve to understand if there is a high bias or high variance problem.
• If a neural network has much lower training error than test error, then adding more layers will help bring the test error down because we can fit the test set better.

10. Bias and variance are given by :

• E[f^(x)]−f(x),E[(E[f^(x)]−f^(x)) 2 ]
• E[f^(x)]−f(x),E[(E[f^(x)]−f^(x))] 2
• (E[f^(x)]−f(x))2,E[(E[f^(x)]−f^(x)) 2 ]
• (E[f^(x)]−f(x))2,E[(E[f^(x)]−f^(x))] 2

NPTEL Introduction to Machine Learning Assignment 1 Answers 2022 [July-Dec]

1. Which of the following are supervised learning problems? (multiple may be correct) a. Learning to drive using a reward signal. b. Predicting disease from blood sample. c. Grouping students in the same class based on similar features. d. Face recognition to unlock your phone.

2. Which of the following are classification problems? (multiple may be correct) a. Predict the runs a cricketer will score in a particular match. b. Predict which team will win a tournament. c. Predict whether it will rain today. d. Predict your mood tomorrow.

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3. Which of the following is a regression task? (multiple options may be correct) a. Predict the price of a house 10 years after it is constructed. b. Predict if a house will be standing 50 years after it is constructed. c. Predict the weight of food wasted in a restaurant during next month. d. Predict the sales of a new Apple product.

4. Which of the following is an unsupervised learning task? (multiple options may be correct) a. Group audio files based on language of the speakers. b. Group applicants to a university based on their nationality. c. Predict a student’s performance in the final exams. d. Predict the trajectory of a meteorite.

5. Given below is your dataset. You are using KNN regression with K=3. What is the prediction for a new input value (3, 2)?

6. Which of the following is a reinforcement learning task? (multiple options may be correct)

7. Find the mean of squared error for the given predictions:

8. Find the mean of 0-1 loss for the given predictions:

👇 For Week 02 Assignment Answers 👇

9. Bias and variance are given by:

10. Which of the following are true about bias and variance? (multiple options may be correct)

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About Introduction to Machine Learning

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms. 

COURSE LAYOUT

• Week 0:  Probability Theory, Linear Algebra, Convex Optimization – (Recap)
• Week 1:  Introduction: Statistical Decision Theory – Regression, Classification, Bias Variance
• Week 2:  Linear Regression, Multivariate Regression, Subset Selection, Shrinkage Methods, Principal Component Regression, Partial Least squares
• Week 3:  Linear Classification, Logistic Regression, Linear Discriminant Analysis
• Week 4:  Perceptron, Support Vector Machines
• Week 5:  Neural Networks – Introduction, Early Models, Perceptron Learning, Backpropagation, Initialization, Training & Validation, Parameter Estimation – MLE, MAP, Bayesian Estimation
• Week 6:  Decision Trees, Regression Trees, Stopping Criterion & Pruning loss functions, Categorical Attributes, Multiway Splits, Missing Values, Decision Trees – Instability Evaluation Measures
• Week 7:  Bootstrapping & Cross Validation, Class Evaluation Measures, ROC curve, MDL, Ensemble Methods – Bagging, Committee Machines and Stacking, Boosting
• Week 8:  Gradient Boosting, Random Forests, Multi-class Classification, Naive Bayes, Bayesian Networks
• Week 9:  Undirected Graphical Models, HMM, Variable Elimination, Belief Propagation
• Week 10:  Partitional Clustering, Hierarchical Clustering, Birch Algorithm, CURE Algorithm, Density-based Clustering
• Week 11:  Gaussian Mixture Models, Expectation Maximization
• Week 12:  Learning Theory, Introduction to Reinforcement Learning, Optional videos (RL framework, TD learning, Solution Methods, Applications)

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

NPTEL Introduction to Machine Learning Assignment 1 Answers [Jan – June 2022]

Q1. Which of the following is a supervised learning problem? 

a. Grouping related documents from an unannotated corpus.  b. Predicting credit approval based on historical data  c. Predicting rainfall based on historical data  d. Predicting if a customer is going to return or keep a particular product he/she purchased from e-commerce website based on the historical data about the customer purchases and the particular product.  e. Fingerprint recognition of a particular person used in biometric attendance from the fingerprint data of various other people and that particular person

Answer:- b, c, d , e

Q2. Which of the following is not a classification problem? 

a. Predicting the temperature (in Celsius) of a room from other environmental features (such as atmospheric pressure, humidity etc).  b.Predicting if a cricket player is a batsman or bowler given his playing records.  c. Predicting the price of house (in INR) based on the data consisting prices of other house (in INR) and its features such as area, number of rooms, location etc.  d. Filtering of spam messages  e. Predicting the weather for tomorrow as “hot”, “cold”, or “rainy” based on the historical data wind speed, humidity, temperature, and precipitation.

Answer:- a, c

Q3. Which of the following is a regression task? (multiple options may be correct) 

a. Predicting the monthly sales of a cloth store in rupees.  b. Predicting if a user would like to listen to a newly released song or not based on historical data.  c. Predicting the confirmation probability (in fraction) of your train ticket whose current status is waiting list based on historical data.  d. Predicting if a patient has diabetes or not based on historical medical records.  e. Predicting if a customer is satisfied or unsatisfied from the product purchased from e-commerce website using the the reviews he/she wrote for the purchased product.

Q4. Which of the following is an unsupervised task? 

a. Predicting if a new edible item is sweet or spicy based on the information of the ingredients, their quantities, and labels (sweet or spicy) for many other similar dishes.  b. Grouping related documents from an unannotated corpus.  c. Grouping of hand-written digits from their image.  d. Predicting the time (in days) a PhD student will take to complete his/her thesis to earn a degree based on the historical data such as qualifications, department, institute, research area, and time taken by other scholars to earn the degree.  e. all of the above

Answer:- c, d

Q5. Which of the following is a categorical feature? 

a. Number of rooms in a hostel.  b. Minimum RAM requirement (in GB) of a system to play a game like FIFA, DOTA.  c. Your weekly expenditure in rupees.  d. Ethnicity of a person  e. Area (in sq. centimeter) of your laptop screen.  f. The color of the curtains in your room.

Answer:- d, f

Q6. Let X and Y be a uniformly distributed random variable over the interval [0, 4] and [0, 6] respectively. If X and Y are independent events, then compute the probability, P(max(X,Y)>3

a. 1/6 b. 5/6 c. 2/3 d. 1/2 e. 2/6 f. 5/8 g. None of the above

NOTE:- Answers of  Introduction to Machine Learning Assignment 1 will be uploaded shortly and it will be notified on Telegram, So  JOIN NOW

Q7. Let the trace and determinant of a matrix A[acbd] be 6 and 16 respectively. The eigenvalues of A are

Q8. What happens when your model complexity increases? (multiple options may be correct) 

a. Model Bias decreases  b. Model Bias increases  c. Variance of the model decreases  d. Variance of the model increases

Answer:- a, d

Q9. A new phone, E-Corp X1 has been announced and it is what you’ve been waiting for, all along. You decide to read the reviews before buying it. From past experiences, you’ve figured out that good reviews mean that the product is good 90% of the time and bad reviews mean that it is bad 70% of the time. Upon glancing through the reviews section, you find out that the X1 has been reviewed 1269 times and only 172 of them were bad reviews. What is the probability that, if you order the X1, it is a bad phone? 

a. 0.136  b. 0.160  c. 0.360  d. 0.840  e. 0.773  f. 0.573  g. 0.181

Q10. Which of the following are false about bias and variance of overfitted and underfitted models? (multiple options may be correct) 

a. Underfitted models have high bias.  b. Underfitted models have low bias.  c. Overfitted models have low variance.  d. Overfitted models have high variance.

NPTEL Introduction to Machine Learning Assignment 1 Answers 2022:- In This article, we have provided the answers of Introduction to Machine Learning Assignment 1.

Disclaimer :- We do not claim 100% surety of solutions, these solutions are based on our sole expertise, and by using posting these answers we are simply looking to help students as a reference, so we urge do your assignment on your own.

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NPTEL Introduction To Machine Learning Assignment 1 Answers 2023

• by QuizXp Team
• July 28, 2023 July 28, 2023

Hello learners In this article we are going to discuss NPTEL Introduction To Machine Learning Assignment 1 Answers . All the Answers provided below to help the students as a reference, You must submit your assignment with your own knowledge and use this article as reference only.

About the course:-

While hard skills teach us what to do, soft skills tell us how to apply our hard skills in a social environment. The focus of the course is to develop a wide variety of soft skills starting from communication, to working in different environments, developing emotional sensitivity, learning creative and critical decision making, developing awareness of how to work with and negotiate with people and to resolve stress and conflict in ourselves and others. 

NPTEL Introduction To Machine Learning Assignment 1 Answers 2023:

Which of the following is a supervised learning problem?

• Grouping related documents from an unannotated corpus.
• Predicting credit approval based on historical data.
• Predicting if a new image has cat or dog based on the historical data of other images of cats and dogs, where you are supplied the information about which image is cat or dog.
• Fingerprint recognition of a particular person used in biometric attendance from the fingerprint data of various other people and that particular person.

2. Which of the following are classification problems?

Predict the runs a cricketer will score in a particular match. Predict which team will win a tournament. Predict whether it will rain today. Predict your mood tomorrow.

Next Week Answers: Assignment 02

3. Which of the following is a regression task?

• Predicting the monthly sales of a cloth store in rupees.
• Predicting if a user would like to listen to a newly released song or not based on historical data.
• Predicting the confirmation probability (in fraction) of your train ticket whose current status is waiting list based on historical data.
• Predicting if a patient has diabetes or not based on historical medical records.
• Predicting if a customer is satisfied or unsatisfied from the product purchased from ecommerce website using the the reviews he/she wrote for the purchased product.

4. Which of the following is an unsupervised learning task?

• Group audio files based on language of the speakers.
• Group applicants to a university based on their nationality.
• Predict a student’s performance in the final exams.
• Predict the trajectory of a meteorite.

5. Which of the following is a categorical feature?

• Number of rooms in a hostel.
• Gender of a person
• Your weekly expenditure in rupees.
• Ethnicity of a p e rson
• Area (in sq. centimeter) of your laptop screen.
• The color of the curtains in your room.
• Number of legs an animal.
• Minimum RAM requirement (in GB) of a system to play a game like FIFA, DOTA.

6. Which of the following is a reinforcement learning task?

• Learning to drive a cycle
• Learning to predict stock prices
• Learning to play chess
• Leaning to predict spam labels for e-mails

7. Let X and Y be a uniformly distributed random variable over the interval [0,4][0,4] and [0,6][0,6] respectively. If X and Y are independent events, then compute the probability, P(max(X,Y)>3)

• None of the above

9. Which of the following statements are true? Check all that apply.

• A model with more parameters is more prone to overfitting and typically has higher variance.
• If a learning algorithm is suffering from high bias, only adding more training examples may not improve the test error significantly.
• When debugging learning algorithms, it is useful to plot a learning curve to understand if there is a high bias or high variance problem.
• If a neural network has much lower training error than test error, then adding more layers will help bring the test error down because we can fit the test set better.

10. Bias and variance are given by:

• E[f^(x)]−f(x),E[(E[f^(x)]−f^(x)) 2 ]
• E[f^(x)]−f(x),E[(E[f^(x)]−f^(x))] 2
• (E[f^(x)]−f(x))2,E[(E[f^(x)]−f^(x)) 2 ]
• (E[f^(x)]−f(x))2,E[(E[f^(x)]−f^(x))] 2

Introduction to Machine Learning NPTEL Week 1 Solutions NPTEL 2023

This set of MCQ(multiple choice questions) focuses on the Introduction to Machine Learning NPTEL 2023 Week 1 Solutions .

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

Course layout

Answers COMING SOON! Kindly Wait!

Week 1: Assignment answers Week 2: Assignment answers Week 3: Assignment answers Week 4: Assignment answers Week 5: Assignment answers Week 6: Assignment answers Week 7: Assignment answers Week 8: Assignment answers Week 9: Assignment answers Week 10: Assignment answers Week 11: Assignment answers Week 12: Assignment answers

NOTE:  You can check your answer immediately by clicking show answer button. Introduction to Machine learning NPTEL 2023 Week 1 Assignment Solution” contains 10 questions.

Now, start attempting the quiz.

Introduction to Machine learning NPTEL 2023 Week 1 Solutions

Q1. Which of the following is a supervised learning problem?

a) Grouping related documents from an unannotated corpus b) Predicting credit approval based on historical data c) Predicting rainfall based on historical data d) Predicting if a customer is going to return or keep a particular product he/she purchased from e-commerce website based on the historical data about the customer purchases and the particular product. e) Fingerprint recognition of a particular person used in biometric attendance from the fingerprint data of various other people and that particular person

Answer: b,c,d,e

Q2. Which of the following is not a classification problem?

a) Predicting the temperature (in Celsius) of a room from other environmental features (such as atmospheric pressure, humidity etc). b) Predicting if a cricket player is a batsman or bowler given his playing records. c) Predicting the price of house (in INR) based on the data consisting prices of other house (in INR) and its features such as area, number of rooms, location etc. d) Filtering of spam messages e) Predicting the weather for tomorrow as “hot”, “cold”, or “rainy” based on the historical data wind speed, humidity, temperature, and precipitation.

Answer: a,c

Q3. Which of the following is a regression task? (multiple options may be correct)

a) Predicting the monthly sales of a cloth store in rupees. b) Predicting if a user would like to listen to a newly released song or not based on historical data. c) Predicting the confirmation probability (in fraction) of your train ticket whose current status is waiting list based on historical data. d) Predicting if a patient has diabetes or not based on historical medical records. e) Predicting if a customer is satisfied or unsatisfied from the product purchased from e-commerce website using the the reviews he/she wrote for the purchased product.

Introduction to Machine Learning NPTEL Week 1 Solutions

Q4. Which of the following is an unsupervised task?

a) Predicting if a new edible item is sweet or spicy based on the information of the ingredients, their quantities, and labels (sweet or spicy) for many other similar dishes. b) Grouping related documents from an unannotated corpus. c) Grouping of hand-written digits from their image. d) Predicting the time (in days) a PhD student will take to complete his/her thesis to earn a degree based on the historical data such as qualifications, department, institute, research area, and time taken by other scholars to earn the degree. e) all of the above

Answer: b,c

Q5. Which of the following is a categorical feature?

a) Number of rooms in a hostel. b) Minimum RAM requirement (in GB) of a system to play a game like FIFA, DOTA. c) Your weekly expenditure in rupees. d) Ethnicity of a person e) Area (in sq. centimeter) of your laptop screen. f) The color of the curtains in your room.

Answer: d,f

Q6. Let X and Y be a uniformly distributed random variable over the interval [0, 4] and [0, 6] respectively. If X and Y are independent events, then compute the probability, P(max(X,Y)>3)

a) 1/6 b) 5/6 c) 2/3 d) 1/2 e) 2/6 f) 5/8 g) None of the above

Q7. Let the trace and determinant of a matrix A[acbd] be 6 and 16 respectively. The eigenvalues of A are

Q8. What happens when your model complexity increases? (multiple options may be correct)

a) Model Bias decreases b) Model Bias increases c) Variance of the model decreases d) Variance of the model increases

Answer: a,d

Q9. A new phone, E-Corp X1 has been announced and it is what you’ve been waiting for, all along. You decide to read the reviews before buying it. From past experiences, you’ve figured out that good reviews mean that the product is good 90% of the time and bad reviews mean that it is bad 70% of the time. Upon glancing through the reviews section, you find out that the X1 has been reviewed 1269 times and only 172 of them were bad reviews. What is the probability that, if you order the X1, it is a bad phone?

a)  0.136 b) 0.160 c) 0.360 d) 0.840 e) 0.773 f) 0.573 g) 0.181

Q10. Which of the following are false about bias and variance of overfitted and underfitted models? (multiple options may be correct)

a)  Underfitted models have high bias. b) Underfitted models have low bias. c) Overfitted models have low variance. d) Overfitted models have high variance.

>> Next- Introduction to Machine Learning Week 2 Assignment Solutions

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NPTEL Introduction to Machine Learning Assignment 1 Answers 2023

Hello Learners, In this Post, you will find NPTEL Introduction to Machine Learning Assignment 1 Answers 2023 . All the Answers are provided below to help the students as a reference don’t straight away look for the solutions.

NPTEL Introduction to Machine Learning Assignment 2 Answers👇

Note: First try to solve the questions by yourself. If you find any difficulty, then look for the solutions.

NPTEL Introduction to Machine Learning Assignment 1 Answers 2023:

We are updating answers soon Join Group for update: CLICK HERE

Q.1. Which of the following is a supervised learning problem?

• Grouping related documents from an unannotated corpus.
• Predicting credit approval based on historical data
• Predicting rainfall based on historical data
• Predicting if a customer is going to return or keep a particular product he/she purchased from e-commerce website based on the historical data about the customer purchases and the particular product.
• Fingerprint recognition of a particular person used in biometric attendance from the fingerprint data of various other people and that particular person

Q.2. Which of the following is not a classification problem?

• Predicting the temperature (in Celsius) of a room from other environmental features (such as atmospheric pressure, humidity etc).
• Predicting if a cricket player is a batsman or bowler given his playing records.
• Predicting the price of house (in INR) based on the data consisting prices of other house (in INR) and its features such as area, number of rooms, location etc.
• Filtering of spam messages
• Predicting the weather for tomorrow as “hot”, “cold”, or “rainy” based on the historical data wind speed, humidity, temperature, and precipitation.

Q.3. Which of the following is a regression task? (multiple options may be correct)

• Predicting the monthly sales of a cloth store in rupees.
• Predicting if a user would like to listen to a newly released song or not based on historical data.
• Predicting the confirmation probability (in fraction) of your train ticket whose current status is waiting list based on historical data.
• Predicting if a patient has diabetes or not based on historical medical records.
• Predicting if a customer is satisfied or unsatisfied from the product purchased from e-commerce website using the the reviews he/she wrote for the purchased product.

NPTEL Introduction to Machine Learning Assignment 2 Answers Join Group👇

Q.4. Which of the following is an unsupervised task?

• Predicting if a new edible item is sweet or spicy based on the information of the ingredients, their quantities, and labels (sweet or spicy) for many other similar dishes.
• Grouping of hand-written digits from their image.
• Predicting the time (in days) a PhD student will take to complete his/her thesis to earn a degree based on the historical data such as qualifications, department, institute, research area, and time taken by other scholars to earn the degree.
• all of the above

Q.5. Which of the following is a categorical feature?

• Number of rooms in a hostel.
• Minimum RAM requirement (in GB) of a system to play a game like FIFA, DOTA.
• Your weekly expenditure in rupees.
• Ethnicity of a person
• Area (in sq. centimeter) of your laptop screen.
• The color of the curtains in your room.

Q.6. Let X and Y be a uniformly distributed random variable over the interval [0, 4] and [0, 6] respectively. If X and Y are independent events, then compute the probability, P(max(X,Y)>3)

• None of the above

Q.7. Let the trace and determinant of a matrix A[acbd] be 6 and 16 respectively. The eigenvalues of A are

Nptel introduction to machine learning week 1 answers join group👇, q.8. what happens when your model complexity increases (multiple options may be correct).

• Model Bias decreases
• Model Bias increases
• Variance of the model decreases
• Variance of the model increases

Q.9. A new phone, E-Corp X1 has been announced and it is what you’ve been waiting for, all along. You decide to read the reviews before buying it. From past experiences, you’ve figured out that good reviews mean that the product is good 90% of the time and bad reviews mean that it is bad 70% of the time. Upon glancing through the reviews section, you find out that the X1 has been reviewed 1269 times and only 172 of them were bad reviews. What is the probability that, if you order the X1, it is a bad phone?

Q.10. which of the following are false about bias and variance of overfitted and underfitted models (multiple options may be correct).

• Underfitted models have high bias.
• Underfitted models have low bias.
• Overfitted models have low variance.
• Overfitted models have high variance.

NPTEL Introduction to Machine Learning Assignment 1 Answers Join Group👇

Disclaimer : This answer is provided by us only for discussion purpose if any answer will be getting wrong don’t blame us. If any doubt or suggestions regarding any question kindly comment. The solution is provided by  Brokenprogrammers . This tutorial is only for Discussion and Learning purpose.

About NPTEL Introduction to Machine Learning Course:

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

Course Layout:

• Week 0:  Probability Theory, Linear Algebra, Convex Optimization – (Recap)
• Week 1:  Introduction: Statistical Decision Theory – Regression, Classification, Bias Variance
• Week 2:  Linear Regression, Multivariate Regression, Subset Selection, Shrinkage Methods, Principal Component Regression, Partial Least squares
• Week 3:  Linear Classification, Logistic Regression, Linear Discriminant Analysis
• Week 4:  Perceptron, Support Vector Machines
• Week 5:  Neural Networks – Introduction, Early Models, Perceptron Learning, Backpropagation, Initialization, Training & Validation, Parameter Estimation – MLE, MAP, Bayesian Estimation
• Week 6:  Decision Trees, Regression Trees, Stopping Criterion & Pruning loss functions, Categorical Attributes, Multiway Splits, Missing Values, Decision Trees – Instability Evaluation Measures
• Week 7:  Bootstrapping & Cross Validation, Class Evaluation Measures, ROC curve, MDL, Ensemble Methods – Bagging, Committee Machines and Stacking, Boosting
• Week 8:  Gradient Boosting, Random Forests, Multi-class Classification, Naive Bayes, Bayesian Networks
• Week 9:  Undirected Graphical Models, HMM, Variable Elimination, Belief Propagation
• Week 10:  Partitional Clustering, Hierarchical Clustering, Birch Algorithm, CURE Algorithm, Density-based Clustering
• Week 11:  Gaussian Mixture Models, Expectation Maximization
• Week 12:  Learning Theory, Introduction to Reinforcement Learning, Optional videos (RL framework, TD learning, Solution Methods, Applications)

CRITERIA TO GET A CERTIFICATE :

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

If you have not registered for exam kindly register Through https://examform.nptel.ac.in/

By Brokenprogrammers

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• Introduction To Machine Learning

NPTEL Introduction To Machine Learning Week 1 Assignment Answer 2023

Welcome to the world of machine learning! NPTEL's Introduction to Machine Learning course is designed to provide you with a solid foundation in this exciting field. As part of the course, you will encounter various assignments that test your understanding and knowledge of the subject matter. One such critical assignment is NPTEL Introduction to Machine Learning Assignment Answer 2023 . In this article, we will dive deep into the intricacies of the assignment, exploring its key concepts and providing valuable insights to help you succeed.

1.Which of the following is a supervised learning problem?

 Grouping related documents from an unannotated corpus.

 Predicting credit approval based on historical data.

 Predicting if a new image has cat or dog based on the historical data of other images of cats and dogs, where you are supplied the information about which image is cat or dog.

 Fingerprint recognition of a particular person used in biometric attendance from the fingerprint data of various other people and that particular person.

2.Which of the following are classification problems?

 Predict the runs a cricketer will score in a particular match.

 Predict which team will win a tournament.

 Predict whether it will rain today.

 Predict your mood tomorrow.

3.Which of the following is a regression task?

 Predicting the monthly sales of a cloth store in rupees.

 Predicting if a user would like to listen to a newly released song or not based on historical data.

 Predicting the confirmation probability (in fraction) of your train ticket whose current status is waiting list based on historical data.

 Predicting if a patient has diabetes or not based on historical medical records.

 Predicting if a customer is satisfied or unsatisfied from the product purchased from ecommerce website using the the reviews he/she wrote for the purchased product.

4.Which of the following is an unsupervised learning task?

 Group audio files based on language of the speakers.

 Group applicants to a university based on their nationality.

 Predict a student’s performance in the final exams.

 Predict the trajectory of a meteorite.

5.Which of the following is a categorical feature?

 Number of rooms in a hostel.

 Gender of a person

 Your weekly expenditure in rupees.

 Ethnicity of a person

 Area (in sq. centimeter) of your laptop screen.

 The color of the curtains in your room.

 Number of legs an animal.

 Minimum RAM requirement (in GB) of a system to play a game like FIFA, DOTA.

6.Which of the following is a reinforcement learning task?

 Learning to drive a cycle

 Learning to predict stock prices

 Learning to play chess

 Leaning to predict spam labels for e-mails

7.Let X and Y be a uniformly distributed random variable over the interval [0,4] and [0,6] respectively. If X and Y are independent events, then compute the probability, P(max(X,Y)>3)

 None of the above

8.Find the mean of 0-1 loss for the given predictions:

9.Which of the following statements are true? Check all that apply.

 A model with more parameters is more prone to overfitting and typically has higher variance.

 If a learning algorithm is suffering from high bias, only adding more training examples may not improve the test error significantly.

 When debugging learning algorithms, it is useful to plot a learning curve to understand if there is a high bias or high variance problem.

 If a neural network has much lower training error than test error, then adding more layers will help bring the test error down because we can fit the test set better.

10. Bias and variance are given by:

E[f^(x)]−f(x),E[(E[f^(x)]−f^(x))2]

E[f^(x)]−f(x),E[(E[f^(x)]−f^(x))]2

(E[f^(x)]−f(x))2,E[(E[f^(x)]−f^(x))2]

(E[f^(x)]−f(x))2,E[(E[f^(x)]−f^(x))]2

Understanding the Basics of Machine Learning

Introduction to python for machine learning, data preprocessing and feature engineering, building and evaluating machine learning models, introduction to neural networks and deep learning, applying machine learning to real-world problems.

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NPTEL Introduction to Machine Learning Week 1 Assignment

Here you can found the NPTEL Jul-Oct 2023 detailed assignment solutions of Introduction to Machine Learning.

You can complete your NPTEL preparation journey.

Week 1 assignment answers you can read easily and understand it very quickly.

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Thank you for learning with NPTEL!!

Dear Learner, Thank you for taking the course with NPTEL!! Hope you enjoyed the journey with us. The results for this course have been published and we are closing this course now.  You will still have access to the contents and assignments of this course, if you click on the course name from the "Mycourses" tab on swayam.gov.in. For any further queries please write to [email protected] . - Team NPTEL

Introduction To Machine Learning : Result Published!!

                                      ***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES***                             ****Please don't click on below link, if you are not registered/not present for the Exam****                          Dear Candidate, The exam scores and E Certificates have been released for October 2023 Exam(s). Step 1 - Are the results of my courses released? Please check the Results published courses list in the below links.:- Oct 2023 Exam - Click here Step 2 - How to check Results? Please login to internalapp.nptel.ac.in/ . and check your exam results. Use the same login credentials as used to register to the exam. What's next? Please read the pass criteria carefully and check against what you have gotten. If you still have any issues, please report the same here. internalapp.nptel.ac.in/ . We will reply within a week. Last date to report queries: 3 days within publishing of scores. Note : Hard copies of certificates will not be dispatched. The duration shown in the certificate will be based on the timeline of offering of the course in 2023, irrespective of which Assignment score that will be considered. Thanks and Best wishes. NPTEL Team

Introduction To Machine Learning : Final Feedback Form !!!

Dear students, We are glad that you have attended the NPTEL online certification course. We hope you found the NPTEL Online course useful and have started using NPTEL extensively. In this regard, we would like to have feedback from you regarding our course and whether there are any improvements, you would like to suggest.   We are enclosing an online feedback form and would request you to spare some of your valuable time to input your observations. Your esteemed input will help us in serving you better. The link to give your feedback is: https://docs.google.com/forms/d/1Eh7Y6e07kXF2AroCxacJTRoaIRw4TfKwo4SR6RFBtDQ/edit?usp=drivesdk We thank you for your valuable time and feedback. Thanks & Regards, -NPTEL Team

October 2023 NPTEL Exams - Hall Tickets Released!

Survey on Problem Solving sessions - Introduction To Machine Learning (noc23-cs98)

Dear Learners, We would like to know if the expectations with which you attended this problem solving session are being met and hence please do take 2 minutes to fill out our feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:  https://docs.google.com/forms/d/1M1M0knZOEqdjNR1yA3607vOUq5_2RzQU5Bm55Z1SjCA/edit?usp=drivesdk -NPTEL TEAM

Introduction To Machine Learning : Problem solving Session Reminder UPDATED!!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 19, 2023 - Thursday Time:06.00 PM - 08.00 PM Link to join:  https://meet.google.com/zbk-hkjs-bxt Session 2 :  Date: October 19, 2023 - Thursday Time:06.00 PM - 07.00 PM Link to join:  https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Introduction To Machine Learning : Problem solving Session Reminder !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 17, 2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 16, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 14, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 13, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Week 12 Feedback Form: Introduction To Machine Learning!!

Dear Learners, Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:    https://docs.google.com/forms/d/1CtgZv4sxBGTVeZweXUNIq_hpaWx8NQqa8mFQAKDoBzU/viewform Thank you -NPTEL team

Introduction To Machine Learning - Week 12 content is live now !!

Dear Learners, The lecture videos for Week 12  have been uploaded for the course " Introduction To Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=129&lesson=130 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-12  for Week-12  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=129&assessment=187 Assignment-12  for Week-12  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=129&assessment=231 The assignment has to be submitted on or before Wednesday, [18/10/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Exam Format - October, 2023 !!

Dear Candidate, ****This is applicable only for the exam registered candidates**** Type of exam will be available in the list: Click Here You will have to appear at the allotted exam center and produce your Hall ticket and Government Photo Identification Card (Example: Driving License, Passport, PAN card, Voter ID, Aadhaar-ID with your Name, date of birth, photograph and signature) for verification and take the exam in person.  You can find the final allotted exam center details in the hall ticket. The hall ticket is yet to be released.  We will notify the same through email and SMS. Type of exam: Computer based exam (Please check in the above list corresponding to your course name) The questions will be on the computer and the answers will have to be entered on the computer; type of questions may include multiple choice questions, fill in the blanks, essay-type answers, etc. Type of exam: Paper and pen Exam  (Please check in the above list corresponding to your course name) The questions will be on the computer. You will have to write your answers on sheets of paper and submit the answer sheets. Papers will be sent to the faculty for evaluation. On-Screen Calculator Demo Link: Kindly use the below link to get an idea of how the On-screen calculator will work during the exam. https://tcsion.com/ OnlineAssessment/ ScientificCalculator/ Calculator.html NOTE: Physical calculators are not allowed inside the exam hall. Thank you! -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 10, 2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 9, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 07, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/upa-sekb-ctj Session 2 :  Date: October 07, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 6, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Introduction To Machine Learning - Week - 12 video is live now !!

Dear Learners, The lecture videos for Week 12  have been uploaded for the course “ Introduction To Machine Learning ”. The lectures can be accessed using the following link. Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=129&lesson=130 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment will be released shortly. As we have done so far, please use the discussion forums if you have any questions on this module. Thanks and Regards, -NPTEL Team

Week 11 Feedback Form: Introduction To Machine Learning!!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 3, 2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Introduction To Machine Learning - Week 11 content is live now !!

Dear Learners, The lecture videos for Week 11  have been uploaded for the course " Introduction To Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=122&lesson=123 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-11  for Week-11  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=122&assessment=186 Assignment-11  for Week-11  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=122&assessment=225 The assignment has to be submitted on or before Wednesday, [11/10/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: October 2, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Introduction To Machine Learning : Problem solving Session Postponed!!

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today (October 2,2023 - Monday)(06.00 PM - 08.00 PM) is Postponed to October 7, 2023 - Saturday. The G-meet link for the session will be shared before the session. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 30, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Introduction To Machine Learning - Week - 11 video is live now !!

Dear Learners, The lecture videos for Week 11  have been uploaded for the course “ Introduction To Machine Learning ”. The lectures can be accessed using the following link. Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=122&lesson=123 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment will be released shortly. As we have done so far, please use the discussion forums if you have any questions on this module. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 29, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Week 10 Feedback Form: Introduction To Machine Learning!!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 26, 2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 25, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 23, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Introduction To Machine Learning - Week 10 content is live now !!

Dear Learners, The lecture videos for Week 10  have been uploaded for the course " Introduction To Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=113&lesson=114 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-10  for Week-10  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=113&assessment=185 Assignment-10  for Week-10  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=113&assessment=223 The assignment has to be submitted on or before Wednesday, [04/10/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 22, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 19, 2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Week 9 Feedback Form: Introduction To Machine Learning!!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 18, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 16, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Introduction To Machine Learning - Week 9 content is live now !!

Dear Learners, The lecture videos for Week 9  have been uploaded for the course " Introduction To Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=104&lesson=105 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-9  for Week-9  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=104&assessment=184 Assignment-9  for Week-9  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=104&assessment=222 The assignment has to be submitted on or before Wednesday, [27/09/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction To Machine Learning - Week - 9 video is live now !!

Dear Learners, The lecture videos for Week 9  have been uploaded for the course “ Introduction To Machine Learning ”. The lectures can be accessed using the following link. Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=104&lesson=105 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment will be released shortly. As we have done so far, please use the discussion forums if you have any questions on this module. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 15, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 12, 2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Week 8 Feedback Form: Introduction To Machine Learning

Dear Learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:  https://docs.google.com/forms/d/1CtgZv4sxBGTVeZweXUNIq_hpaWx8NQqa8mFQAKDoBzU/viewform Thank you -NPTEL team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 11, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 09, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Introduction To Machine Learning : Assignment 8 is live now!!

Dear Learners, The lecture videos for Week 8 have been uploaded for the course "Introduction To Machine Learning" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=95&lesson=96 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-8 for Week-8 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=95&assessment=183 Assignment-8 for Week-8 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=95&assessment=221 The assignment has to be submitted on or before Wednesday,[20/09/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction To Machine Learning : Solution for Assignment 6 released !!

Dear Learner, The Solution for Assignment 6 has been uploaded for the course "Introduction To Machine Learning". The solution set can be accessed using the following link: Assignment 6 solution:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=71&lesson=218 Please use the discussion forum if you have any queries. Thanks & Regards, NPTEL Team.

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 08, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Week 7 Feedback Form: Introduction To Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 5, 2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 4, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Introduction To Machine Learning : Assignment 7 is live now!!

Dear Learners, The lecture videos for Week 7  have been uploaded for the course "Introduction To Machine Learning" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=84&lesson=85 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-7  for Week-7  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=84&assessment=182 Assignment-7  for Week-7  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=84&assessment=219 The assignment has to be submitted on or before Wednesday,[13/09/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 02, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 01, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Introduction To Machine Learning : Solution for Assignment 5 released !!

Dear Learner, The Solution for Assignment 5 has been uploaded for the course "Introduction To Machine Learning". The solution set can be accessed using the following link: Assignment 5 solution:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=60&lesson=215 Please use the discussion forum if you have any queries. Thanks & Regards, NPTEL Team.

Week 6 Feedback Form: Introduction To Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 29,2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 28, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Introduction To Machine Learning : Assignment 6 is live now!!

Dear Learners, The lecture videos for Week 6 have been uploaded for the course "Introduction To Machine Learning" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=71&lesson=72 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-6 for Week-6 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=71&assessment=181 Assignment-6 for Week-6 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=71&assessment=216 The assignment has to be submitted on or before Wednesday,[06/09/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 26, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Introduction To Machine Learning : Solution for Assignment 4 released !!

Dear Learner, The Solution for Assignment 4 has been uploaded for the course "Introduction To Machine Learning". The solution set can be accessed using the following link: Assignment 4 solution:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=51&lesson=214 Please use the discussion forum if you have any queries. Thanks & Regards, NPTEL Team.

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 25, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Week 5 Feedback Form: Introduction To Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 21, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 22,2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 19, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Introduction To Machine Learning : Assignment 5 is live now!!

Dear Learners, The lecture videos for Week 5 have been uploaded for the course "Introduction To Machine Learning" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=60&lesson=61 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-5 for Week-5 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=60&assessment=180 Assignment-5 for Week-5 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=60&assessment=213 The assignment has to be submitted on or before Wednesday,[30/08/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction To Machine Learning : Solution for Assignment 3 released !!

Dear Learner, The Solution for Assignment 3 has been uploaded for the course "Introduction To Machine Learning". The solution set can be accessed using the following link: Assignment 3 solution:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=42&lesson=210 Please use the discussion forum if you have any queries. Thanks & Regards, NPTEL Team.

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 18, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Exam Registration for NPTEL courses extended !!

Dear Learner,

Registration for the certification exam has been extended.

CLICK HERE to register for the exam.

Choose from the Cities where exam will be conducted: Exam Cities

Last date for exam registration is extended : August 28, 2023, 5:00 PM (Monday).

Click here to view Timeline and Guideline : Guideline

Note: Kindly ignore if registered already.

Happy Learning!

Thanks and Regards,

NPTEL TEAM.

Week 4 Feedback Form: Introduction To Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 15,2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 14, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 12, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Introduction To Machine Learning : Assignment 4 is live now!!

Dear Learners, The lecture videos for Week 4 have been uploaded for the course "Introduction To Machine Learning" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=51&lesson=52 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-4 for Week-4 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=51&assessment=179 Assignment-4 for Week-4 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=51&assessment=212 The assignment has to be submitted on or before Wednesday,[23/08/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 11, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Introduction To Machine Learning : Solution for Assignment 1&2 released !!

Dear Learner, The Solution for Assignment 1&2 have been uploaded for the course "Introduction To Machine Learning". The solution set can be accessed using the following link: Assignment 1 solution:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=22&lesson=208 Assignment 2 solution: https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=32&lesson=209 Please use the discussion forum if you have any queries. Thanks & Regards, NPTEL Team.

Week 3 Feedback Form: Introduction To Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 08,2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 07, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 05, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Introduction To Machine Learning : Assignment 3 is live now!!

Dear Learners, The lecture videos for Week 3 have been uploaded for the course "Introduction To Machine Learning" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=42&lesson=43 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-3 for Week-3 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=42&assessment=178 Assignment-3 for Week-3 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=42&assessment=203 The assignment has to be submitted on or before Wednesday,[16/08/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 04, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Week 2 Feedback Form: Introduction To Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 01,2023 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: July 31, 2023 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Happy Learning. -NPTEL Team

Introduction To Machine Learning : Assignment 2 is live now!!

Dear Learners, The lecture videos for Week 2 have been uploaded for the course "Introduction To Machine Learning" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=32&lesson=33 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-2 for Week-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=32&assessment=177 Assignment-2 for Week-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=32&assessment=202 The assignment has to be submitted on or before Wednesday,[09/08/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: July 29, 2023 - Saturday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: July 28, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Happy Learning. -NPTEL Team

Introduction To Machine Learning : Problem solving Session !!

Dear learner, Every week there will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that  will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1 :  Start Date: August 1, 2023 When: Every Tuesday Time: 06.00 PM - 08.00 PM Link to join: https://meet.google.com/vpk-omcd-fbn Session 2 :  Start Date: July 29, 2023 When: Every Saturday Time: 06.00 PM - 08.00 PM Link to join: https://meet.google.com/kkf-ertk-tcf Session 3 :  Start Date: July 31, 2023 When: Every Monday Time: 06.00 PM - 08.00 PM Link to join: https://meet.google.com/zbk-hkjs-bxt Session 4 :  Start Date: July 28, 2023 When: Every Friday Time: 06.00 PM - 08.00 PM Link to join: https://meet.google.com/xnx-ggio-dze Thank you. -NPTEL Team

Week 1 Feedback Form: Introduction To Machine Learning

Introduction to machine learning : assignment 1 is live now.

Dear Learners, The lecture videos for Week 1 have been uploaded for the course "Introduction To Machine Learning" . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=22&lesson=23 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-1 for Week-1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=22&assessment=176 Assignment-1 for Week-1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=22&assessment=201 The assignment has to be submitted on or before Wednesday,[09/08/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Stay Ahead of the Curve: Follow NPTEL for a Bright Future!!

Dear Learners Don't let knowledge pass you by! Stay in the loop with all the latest updates from NPTEL!  Follow us on social media to never miss a beat in your educational journey. Be the first to know about new courses, insightful articles, and exciting announcements.  Join our growing community. Tap those links below and let the learning adventure begin! Twitter: https://twitter.com/nptelindia?t=Yv1BextATpcwg7K2kOxbhg&s=08 Facebook:  https://www.facebook.com/NPTELNoc/ Instagram:  https://www.instagram.com/nptel_india/ LinkedIn: https://www.linkedin.com/mwlite/company/nptel YouTube: https://www.youtube.com/user/nptelhrd Happy learning!  Team NPTEL

Introduction To Machine Learning: Assignment 0 is live now!!

Dear Learners, We welcome you all to this course " Introduction To Machine Learning ". The assignment 0 has been released. This assignment is based on a prerequisite of the course. You can find the assignment in the link:  https://onlinecourses.nptel.ac.in/noc23_cs98/unit?unit=16&assessment=175 Please note that this assignment is for practice and it will not be graded. Thanks & Regards   -NPTEL Team

NPTEL: Exam Registration is open now for July 2023 courses!

Dear Learner, 

Here is the much-awaited announcement on registering for the July 2023 NPTEL course certification exam. 

1. The registration for the certification exam is open only to those learners who have enrolled in the course. 

2. If you want to register for the exam for this course, login here using the same email id which you had used to enroll to the course in Swayam portal. Please note that Assignments submitted through the exam registered email id ALONE will be taken into consideration towards final consolidated score & certification. 

3 . Date of exam: October 29, 2023

4. Exam fees: 

If you register for the exam and pay before Aug 14, 2023, 5:00 PM, Exam fees will be Rs. 1000/- per exam .

5. 50% fee waiver for the following categories: 

6. Last date for exam registration: Aug 18, 2023, 5:00 PM (Friday). 

7. Between Aug 14, 2023, 5:00 PM & Aug 18, 2023, 5:00 PM late fee will be applicable.

8. Mode of payment: Online payment - debit card/credit card/net banking/UPI. 

9. HALL TICKET: 

10. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions. 

11. Data changes: 

Last date for data changes: Aug 18, 2023, 5:00 PM :  

The following 6 fields can be changed(until the form closes) ONLY when there are NO courses in the course cart. And you will be able to edit those fields only if you: - 

6. What is your role ? 

But, for cancelled courses, refund of fees will be initiated only after 2 weeks. 

12. LAST DATE FOR CANCELLING EXAMS and getting a refund: Aug 18, 2023, 5:00 PM  

13. Click here to view Timeline and Guideline : Guideline

Introduction To Machine Learning:Welcome to NPTEL Online Course - July 2023!!

• Every week, about 2.5 to 4 hours of videos containing content by the Course instructor will be released along with an assignment based on this. Please watch the lectures, follow the course regularly and submit all assessments and assignments before the due date. Your regular participation is vital for learning and doing well in the course. This will be done week on week through the duration of the course.
• Please do the assignments yourself and even if you take help, kindly try to learn from it. These assignments will help you prepare for the final exams. Plagiarism and violating the Honor Code will be taken very seriously if detected during the submission of assignments.
• The announcement group - will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets, etc.
• The discussion forum (Ask a question tab on the portal) - is for everyone to ask questions and interact. Anyone who knows the answers can reply to anyone's post and the course instructor/TA will also respond to your queries.
• Please make maximum use of this feature as this will help you learn much better.
• If you have any questions regarding the exam, registration, hall tickets, results, queries related to the technical content in the lectures, any doubts in the assignments, etc can be posted in the forum section
• The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
• The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
• Date and Time of Exams: October 29, 2023 Morning session 9am to 12 noon; Afternoon Session 2 pm to 5 pm.
• Registration URL: Announcements will be made when the registration form is open for registrations.
• The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
• Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.
• Once again, thanks for your interest in our online courses and certification. Happy learning.

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