nptel machine learning assignment 4 solution

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023:-  In This article, we have provided the answers of Introduction to Machine Learning Assignment 4 You must submit your assignment to your own knowledge.

What is 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. CRITERIA TO GET A CERTIFICATE Average assignment score = 25% of the 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 THE 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 Week 4 Assignment Answer 2023

Q2. Which of the following loss functions are convex? (Multiple options may be correct)

• 0-1 loss (sometimes referred as mis-classification loss)
• Logistic lo s s
• Squared error loss

Q3. Which of the following are valid kernel functions?

• (1+ < x, x’ >) d
• tanℎ(K 1 <x,x’>+K2)
• exp(−γ||x−x’| | 2)

State true or false: Th e dataset becomes linearly separable after using basis expansion with the following basis function ϕ(x)=[1x 3 ]

Q5. State True or False: SVM cannot classify data that is not linearly separable even if we transform it to a higherdimensional space.

Q6. State True or False: The decision boundary obtained using the perceptron algorithm does not depend on the init i al values of the weights.

Q7. Consider a linear SVM trained with n labeled points in R 2 without slack penalties and resulting in k=2 support vectors, where n>100. By removing one labeled training point and retraining the SVM classifier, what is the max i mum possible number of support vectors in the resulting solution?

Q8. Consider an SVM with a second order polynomial kerne l. Kernel 1 maps each input data point x to K 1 (x)=[x x 2 ]. Kernel 2 maps each input data point x to K 2 (x)=[3x 3×2]. Assume the hyper-parameters are fixed. Which of the following option is true?

• The margin obtained using K 2 (x) will be larger than the margin obtained using K 1 (x).
• The margin obtained using K 2 (x) will be smaller than the margin obtained using K 1 (x).
• The margin obtained using K 2 (x) will be the same as the margin obtained using K 1 (x).

NPTEL Introduction to Machine Learning Assignment 4 Answers July 2022

1. Consider the 1-dimensional dataset: State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function ϕ(x)=[1×3]ϕ(x)=[1×3]

2. Consider a linear SVM trained with nn labeled points in R2R2 without slack penalties and resulting in k=2k=2 support vectors, where n>100n>100. By removing one labeled training point and retraining the SVM classifier, what is the maximum possible number of support vectors in the resulting solution? a. 1 b. 2 c. 3 d. n − 1 e. n

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3. Which of the following are valid kernel functions? a. (1+<x,x’>)d(1+<x,x′>)d b. tanh(K1<x,x’>+K2) c. exp(−γ||x−x’||2)

4. Consider the following dataset:

Which of these is not a support vector when using a Support Vector Classifier with a polynomial kernel with degree =3,C=1,=3,C=1, and gamma =0.1?=0.1? (We recommend using sklearn to solve this question.) a. 3 b.1 c. 9 d. 10

5. Consider an SVM with a second order polynomial kernel. Kernel 1 maps each input data point xx to K1(x)=[x x2]. Kernel 2 maps each input data point xx to K2(x)=[3x 3×2]K2(x). Assume the hyper-parameters are fixed. Which of the following option is true? a. The margin obtained using K2(x)K2(x) will be larger than the margin obtained using K1(x)K1(x). b. The margin obtained using K2(x)K2(x) will be smaller than the margin obtained using K1(x)K1(x). c. The margin obtained using K2(x)K2(x) will be the same as the margin obtained using K1(x)K1(x).

6. Train a Linear perceptron classifier on the modified iris dataset. Report the best classification accuracy for l1 and elasticnet penalty terms.

(We recommend using sklearn.) a. 0.82, 0.64 b. 0.90, 0.71 c. 0.84, 0.82 d. 0.78, 0.64

👇 For Week 05 Assignment Answers 👇

7. Train an SVM classifier on the modified iris dataset. We encourage you to explore the impact of varying different hyperparameters of the model. Specifically, try different kernels and the associated hyperparameters. As part of the assignment, train models with the following set of hyperparameters poly, gamma=0.4gamma=0.4, one-vs-rest classifier, no-feature-normalization. a. 0.98 b. 0.96 c. 0.92 d. 0.94

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NPTEL Introduction to Machine Learning Assignment 4 Answers 2022:- In This article, we have provided the answers of Introduction to Machine Learning Assignment 4

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.

NPTEL Introduction to Machine Learning Assignment 4 Answers Jan 2022

Q1.  Consider the 1 dimensional dataset:

State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function  ϕ ( x )=[1 x 2]

Answer:- a

👇 FOR NEXT WEEK ASSIGNMENT ANSWERS 👇

Q2.  Consider the data set given below.

Claim: PLA (perceptron learning algorithm) can learn a classifier that achieves zero misclassification error on the training data. This claim is:

Answer:-   c

Q3.  Which of the following is the correct definition for the neural network kernel?

Answer:-  b

Q4.  State True or False SVM cannot classify data that is not linearly separable even if we transform it to a higher- dimensional space.

Q5.  Consider the following dataset:

Which of these is not a support vector when using a Support Vector Classifier with a polynomial kernel with degree = 3,  C  = 1, and gamma = 0.1?

Q6.  State True or False:

The decision boundary obtained using the perceptron algorithm does not depend on the initial values of the weights.

Answer:-   b

Q7.  Train a Linear perceptron classifier on the modified iris dataset. We recommend using sklearn. Use only the first two features for your model and report the best classification accuracy for l1 and l2 penalty terms.

Answer:-   a

Q8.  Train a SVM classifier on the modified iris dataset. We recommend using sklearn. Use only the first three features. We encourage you to explore the impact of varying different hyperparameters of the model. Specifically try different kernels and the associated hyperparameters. As part of the assignment train models with the following set of hyperparameters RBF-kernel, gamma = 0.5, one-vs-rest classifier, no-feature-normalization.

Try  C  = 0.01, 1, 10. For the above set of hyperparameters, report the best classification accuracy.

Answer:- For Answer Click Here

NPTEL Introduction to Machine Learning Assignment 4 Answers 2022:-  In This article, we have provided the answers of Introduction to Machine Learning Assignment 4

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We need week 8 assignment

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Best of luck .

Dear Students,

                              Congratulations to all of you for successfully completing the course.

Hope you have enjoyed the course.

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Week 8 Assignment Solution

Week 8 Assignment Solution uploaded. Please check.

Scientific calculators are allowed inside the exam hall during final exam

Reevaluation of marks.

Reevaluation of marks in week 2 and week 4 has been done. Please check.

New Announcement

Instruction for the FN Exam 1. The Admit Card must be presented for verification along with one original photo identification (not photo copy or scanned copy). Example of acceptable photo identification documents are School ID, College ID, Employee ID, Driving License, Passport, PAN card, Voter ID, Aadhaar-ID. Printed copy of hall ticket and original photo id card should be brought to the exam centre. Hall ticket and id card copies on the phone will not be permitted. 2. This Admit Card is valid only if the candidate's photograph and signature images are legible. To ensure this, print the admit card on A4 sized paper using a laser printer, preferably a colour photo printer. 3. Please report to the examination venue by 08:00 am and gates will be closed and entry will not be permitted beyond 09.30am . 4. Candidates will be permitted to appear for the examination ONLY after their credentials are verified by center officials. 5. At 08:40 am – Candidates will be permitted to occupy their allotted seats. 6. At 08:50 am – Candidates can login and start reading instructions prior to the examination. 7. Candidates are advised to locate the examination center at least a day prior to the examination, so that they can reach the center on time for the examination. 8. The total duration of the examination is 180 minutes. Candidates will be permitted to leave the examination hall only after 10.40 am , on a need basis. 9. Mobile phones or any other electronic devices other than calculators are NOT ALLOWED inside the examination hall. There may not be any facility for safekeeping of these devices outside the examination hall, it will be prudent to not bring valuables to the examination center. 10.Please bring your own Scientific Calculator, for use in the exam. 11.Scribble pads will be provided to candidate for rough work. Candidates have to write their name and registration number on the scribble pad before they start using it. The scribble pad must be returned to the invigilator after the end of the examination. Instruction for the AN Exam 1. The Admit Card must be presented for verification along with one original photo identification (not photo copy or scanned copy). Example of acceptable photo identification documents are School ID, College ID, Employee ID, Driving License, Passport, PAN card, Voter ID, Aadhaar-ID. Printed copy of hall ticket and original photo id card should be brought to the exam centre. Hall ticket and id card copies on the phone will not be permitted. 2. This Admit Card is valid only if the candidate's photograph and signature images are legible. To ensure this, print the admit card on A4 sized paper using a laser printer, preferably a colour photo printer. 3. Please report to the examination venue by 01:00 pm and gates will be closed and entry will not be permitted beyond 2.30pm . 4. Candidates will be permitted to appear for the examination ONLY after their credentials are verified by center officials. 5. At 01:40 pm – Candidates will be permitted to occupy their allotted seats. 6. At 01:50 pm – Candidates can login and start reading instructions prior to the examination. 7. Candidates are advised to locate the examination center at least a day prior to the examination, so that they can reach the center on time for the examination. 8. The total duration of the examination is 180 minutes. Candidates will be permitted to leave the examination hall only after 03.40 pm , on a need basis. 9. Mobile phones or any other electronic devices other than calculators are NOT ALLOWED inside the examination hall. There may not be any facility for safekeeping of these devices outside the examination hall, it will be prudent to not bring valuables to the examination center. 10.Please bring your own Scientific Calculator, for use in the exam. 11.Scribble pads will be provided to candidate for rough work. Candidates have to write their name and registration number on the scribble pad before they start using it. The scribble pad must be returned to the invigilator after the end of the examination.

Week 7 Assignment Solution

Week 7 Assignment Solution uploaded. Please check.

Regarding Week 7 Assignment

Due date for Week 7 assignment extended to 2017-09-16, 23:59 IST.

Hall ticket for September 24th NPTEL Online Certification exams is now available for download

Dear Candidate: If you have registered and paid successfully for the September 24th NPTEL Online certification exam, your Admit Card/ Hall ticket is now available inside your application form: 1. Please visit the link: http://nptelonlinecourses.iitm.ac.in/ Login with your registered Google-enabled account email id (used to access the course on the portal and used for registering for the exam) and its password to access the link and click on September exam to download the hall ticket(s) for the September 24th exams, from the link. 2. You can also download it from the alternate link given below: https://cdn3.digialm.com//EForms/configuredHtml/885/52541/login.html Please try to access both the links to download your hall ticket, if you are not able to find your hall ticket in both the links., kindly write to us at [email protected] .   Note: that you will be able to login here, only if you have a valid registration for exams on September 24, 2017. Please download hall ticket, take a print out and along with a original ID card, carry it with you to the venue (The exam centre address is there in the hall ticket). Read all instructions given in the admit card/ hall ticket carefully and follow them. Note1:- If you are writing 2 exams – Forenoon and Afternoon sessions, please ensure that you have downloaded 2 hall tickets which will be hosted inside the login.   In case of the any problems with the hall ticket kindly write to us [email protected] IMPORTANT: 1. Change of shift, course, exam center, exam city will not be encouraged. 2. You will not be allowed to write the exam if you are showing up in the exam center which is not allocated to you by mistake or by intention. 3. Gate Entry beyond 09:30 AM in FN and 2:30 PM in AN will not be entertained. 4. Candidates will not be allowed to write the exam without Hall ticket and proper id proof. NPTEL Team wishes you the very best for the certification exam. Thanks & Regards, NPTEL team

Regarding Final Examination

The distribution of marks in the final examination is as follows:                                     Section 1: 20 ONE marks questions                                     Section 2: 20 TWO marks questions                                     Section 3: 8 FIVE marks questions Question Type: MCQ Total marks: 100 Time: 180 min.

Solution for Week 6 Assignment available !!

Hi, Solution of Week 6 assignment has been uploaded. please check.

Introduction to Machine Learning: Week 8 Videos are available!!

                           Videos of Week 8 are available in the Course Outline section under Week 8.

Introduction to Machine Learning : Week 8 Assignment

Week 8 assignment is available !! Due date for this assignment: 2017-09-20, 23:59 IST.

Week 6 : Assignment 1

New deadline for Week 6 Assignment submission : 2017-09-09, 23:59 IST.

Solution for Week 5 Assignment available !!

Week 7 Quiz Assignment is available !!

Dear Students, The Quiz Assignment for Week 7 is available.

Introduction to Machine Learning: Week 7 Videos are available!!

                           Videos of Week 7 are available in the Course Outline section under Week 7.

Introduction to Machine Learning : Week 6 Assignment

Week 6 assignment is available !! Due date for this assignment: 2017-09-06, 23:59 IST.

Regarding Assignment 4

There is a typographical error in Question No 7. The answer will be 0.28 hence option E will be coorect option. As it is not in the options so marks will be given to all. But the updation of score will be done after the end of all the assignments. We will notify you once score is updated.

Introduction to Machine Learning : Week 6 Videos are available !!

                             Videos of Week 6 are available in the course outline section under Week 6. 

Week 4 : Assignment Solution

Hi, Solution of Week 4 assignment has been uploaded. please check.

Introduction to Machine Learning: Feedback for Week 1, Week 2, Week 3, Week 4, Week 5 and Week 6

Dear student

We are glad that you have joined the NPTEL online certification course.

We are enclosing an online feedback form and would request you to spare some of your valuable time to input your observations for Week 1, 2, 3, 4, 5 and 6 contents. This is not mandatory but your esteemed input will help us in serving you better.

Please post your feedback ( Week Wise ) at the following links:

Week 1 ( Click Here )

Week 2 ( Click Here ) Week 3 ( Click Here )

Week 4 ( Click Here )

Week 5 ( Click Here ) Week 6 ( Click Here )

We thank you for your valuable time and feedback.

Thanks & Regards

NPTEL Team IIT Kharagpur

Week 4 Assignment 1: Date Extension

Deadline of the Week 4 Assignment has been extended to 25th August, 2017 (Friday).

Last date for Exam Registartion Extended

Dear Candidates Last date for exam registration have been extended till August 28 10:00 AM (Monday). Payment for the exam can been made till August 28 5:00 PM (Monday) The certification exam will be conducted at designated centers in the city chosen by you. You have to register for the exam by filling up the form, paying the exam fee and appear in person and to get the certificate. Hard and soft copy of Certificate will be awarded only to those candidates who register for the exam, attend the certificate examination and whose Final score > 40% Register for the exam today at: http://nptelonlinecourses.iitm.ac.in/ For other details about exam registration, please check our previous announcement. -NPTEL Team

Introduction to Machine Learning: Week 5 Videos are available!!

                           Videos of Week 5 are available in the Course Outline section under Week 5. Invalid HTML tag: tag name o:p is not allowed

Introduction to Machine Learning: Week 3 Assignment Solution

Week 3 Assignment Solution has been uploaded.

Introduction to Machine Learning : Week 4 Assignment

Week 4 assignment is available !!. The deadline is 23.08.17 up to 23:59.

Introduction to Machine Learning : Week 4 Videos are available !!

                           Videos of Week 4 are available in the Course Outline section under Week 4. Invalid HTML tag: tag name o:p is not allowed

Assignment Marks

The final marks of the assignments will be made available at the end of the course. As of now you can evaluate your performance by checking the solutions. And for final scoring best 6 out of 8 assignments are considered for evaluation.

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Week 2 assignment solutions.

Dear Students, Assignment solutions of Week 2 are available in the course outline section under Week 2.

Week 2 Assignment date extension

Deadline of the Week 2 Assignment has been extended to 11th August, 2017 (Friday).

Regarding Week 2 Assignment 1 Question No. 4

Dear Students, in Week 2 Assignment 1 Question no. 4, there are four options among which two options are same. So it is decided that marks will be given to all students for that question. Thanks.

Exam and Certificate Format

Dear student The certification exam will be conducted at designated centres in the city chosen by you. You have to register for the exam by filling up the form, paying the exam fee and appear in person to get the certificate. Register for the exam today at: http://nptelonlinecourses.iitm.ac.in/ Exam registration form closes on 23rd AUGUST 2017 10:00 AM (Wednesday). For other details about exam registration, please check our previous announcement. Type of exam: Computer based exam (Online) Online: You will have to appear at the allotted exam centre 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 allotted exam center details in the hall ticket. 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 The hall ticket will be available for download tentatively around 10 -16th September 2017 . We will notify the same through email. FINAL CERTIFICATE: The final score = 25% assignment score + 75% final certification exam score. The final score will determine if you will/will not receive a certificate. 1. Final score < 40%: NO certificate 2. Final score between 40% -59%: Certificate of type "Successfully completing the course" 3. Final score between 60% -89%: Certificate with tag "Elite" printed at the top 4. Final score of 90% and above: Certificate with "Elite" tag and the gold medal printed on it. Please click the link here for certificate format: http://nptelonlinecourses.iitm.ac.in/cert_preview/certificate_latest.pdf -NPTEL Team

Regarding Week 1 Assignment solution

Dear Students, You are requested to refer to the following link where some questions including the week 1 assignment solutions are discussed in details.             The link: https://www.youtube.com/watch?v=qqlAeim0rKY&list=PLYihddLF-CgYuWNL55Wg8ALkm6u8U7gps&index=19

Week 1: Assignment Solution

Dear Students, Assignment solutions of Week 1 are available in the course outline section under Week 1.

Week 3 assignment is available !!

Week 3 assignment is available !!. The deadline is 16.08.17 up to 23:59.

Introduction to Machine Learning: Week 3 Videos are available!!

                           Videos of Week 3 are available in the Course Outline section under Week 3. Invalid HTML tag: tag name o:p is not allowed

REGISTER TODAY - CERTIFICATION EXAM FORM IS NOW OPEN!

Dear Student: Here is the much-awaited announcement on registering for the September 2017 certification exam . The registration for the certification exam is only open to students who have enrolled in the course. Registration is open from 2nd AUGUST 2017 (Wednesday) until 23rd AUGUST 2017 10:00 AM (Wednesday) . The certification exam registration URL is: http://nptelonlinecourses.iitm.ac.in/ (If you want to register for the exam for this course, login here using the same email id used to enroll to the course) Dates of exam: 24th September 2017(Sunday) [Forenoon-Shift 1/Afternoon Shift 2] (You can choose any one shift according to your convenience for writing the exam). You can register for a maximum of 2 course exams (same day of exam – 2 sessions. Same center will be allocated for both the sessions). Exam Session time: Shift 1 - 9.00 AM -12.00 PM ; Shift 2 - 2.00 PM - 5.00 PM Examination Cities: The exam is to be conducted in several cities across India whose list is available on the registration form. Click here to access the list of exam cities: http://nptel.ac.in/LocalChapter/Assets/spoc_refdocs/Sep%202017%20Exam%20Cities%20-%20Default+alternate%20cities.pdf  Registration fees: Rs 1000/- (Students belonging to the SC/ST category can avail a 50% fee waiver - please select Yes for the SC/ST option and upload the correct Community certificate) Mode of payment:  Online payment - debit card/credit card/net banking. HALL TICKET: The hall ticket will be available for download tentatively between 10 -16th September 2017 . We will confirm the same through an announcement once it is published. Final score on certificate: 25% of assignment score + 75% of certification exam score. Award of certificate:   Hard and soft copy of Certificate will be awarded only to those candidates who register for the exam, attend the certificate examination and whose Final score > 40% The final score, assignment score and exam score will be printed on the certificate. The certificate will also have a link to the NPTEL website ( http://nptel.ac.in/no c ), where on logging in, your scores and e-certificate will be available for verification  (Appropriate announcements will be made). Please do regularly submit assignments to get a good final score. IMPORTANT NOTES 1) FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- Once the registration form is submitted after payment, no changes like adding or removing the chosen course, exam shift, city is possible. So, if you are choosing to write 2 course exams, please choose suitably and make the payment for both courses at the same time. It is not possible to pay later for the second course. Once the payment is made, only basic details will be editable. 2) FOR CANDIDATES WHO ARE PAYING VIA THE LOCAL CHAPTER OF YOUR COLLEGE:- There are 2 modes of operation: Option 1 1. You will pay fees to your SPOC. 2. Your SPOC will pay the fees to NPTEL on your behalf and also will provide us all details including photo, signature. 3. We will populate all the fields in the exam form. 4. Your responsibility will be to come to the exam form and verify that the details in the exam form are correct. Option 2 1. In the exam form, you will fill all the details and also upload photo, signature. 2. Ensure that you had selected your college name correctly from the drop-down list in the form. 3. Payment of exam fees - click on the tab - 'PAY VIA SPOC'. The SPOC has to now confirm to NPTEL that he/she will pay fees on your behalf. If the SPOC says NO, you will be intimated via email. Then it becomes your responsibility to come back to the exam form and make the payment. If you do not pay the exam fees within the prescribed time, you will not be able to write the exam. After submitting the form, in case you wish to change the name, date of birth, address, photo and signature.  Please login to http://nptelonlinecourses.iitm.ac.in/edit_details.php and make the changes till August  23, 2017. The following data initially submitted cannot be changed –email id, course selected, shift, exam city, SC/ST. For changes in this email us at [email protected] giving your Application number, email id and name. No changes will be entertained in these details after August  23 2017. Thanks & Regards, NPTEL TEAM

Link for downloading lecture videos

The lecture videos are available for download from this link !!

Week 1 Assignment 1 Deadline extension

Week 1 Assignment 1 deadline extended to 7th August, 2017

Introduction to Machine Learning : Week 2 Assignment is available !! 

Dear Students,                             Assignment  of Week 2 is available in the course outline section under Week 2.

Introduction to Machine Learning : Week 2 Videos are available !!

Dear Students,                             Videos of Week 2 are available in the course outline section under Week 2.

Accessing the course page

Please visit the site https://onlinecourses.nptel.ac.in/explorer On the top right hand corner find the login link. Login with your email id with which you have registered to nptel and the course. Scroll down and click on the "All Running Courses" and find your course there. If you have already registered in the course you will find the button "Go to course". Click there and you will be taken to the course page. In the left hand column find "Week 1". There you will find the video and the Assignment.

Introduction to Machine Learning: Week 1 Lecture Materials are available !!

Introduction to Machine Learning: Week 1: Assignment is available !!

Dear Students,  Assignment of Week 1 is available in the course outline section under Week 1.

NPTEL: Regarding whatsapp groups for courses

"The Forum embedded on the course portal is the only official communication channel monitored by the Faculty coordinator and team and on which we will respond. NPTEL is NOT responsible for any whatsapp group or any other group created in any other social media. Request the learners to refrain from sharing phone numbers and other details which may be misused as this is a public group and this information is available to all members in this group - NPTEL will not be responsible for misuse of any such information".

Introduction to Machine Learning: Week 1 videos are available !!

                          Videos of Week 1 are available in the course outline section under Week 1.  

Welcome to NPTEL Online Course : Introduction to Machine Learning

Welcome to NPTEL Online Courses and Certification!

Thank you for signing up for our online course “Introduction to Machine Learning " . We wish you an enjoyable and informative learning experience.

The course will begin on July 24, 2017 . When content is released on the portal, you will get an email alerting you. 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.

We will open registration for the exam soon after the course starts. A form has to be filled and the certification exam has a fee, which needs to be paid at the time of registration. Everyone who has signed-up for the course, including those who do not register for the exam, will continue to have access to the course contents.

There are two sections on the portal apart from the course content and assignment sections:

•     The announcement list which will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets etc.     

•     The discussion forum which is for everyone to ask questions and interact - If you have any questions regarding the technical content in the lectures, any doubts in the assignments or any question related to the exam, registration, hall tickets, results, etc, kindly write about this in the forum and the course instructor/TA will respond to it. Please use this well and participate to benefit from the course.

Details regarding the course:

Name of the course :  Introduction to Machine Learning Course url : https://onlinecourses.nptel.ac.in/noc17_cs26/

Course duration: 08 weeks course

Dates of exams: September 24, 2017

o         Time of exam : Shift 1: 9am-12 noon; Shift 2: 2pm-5pm

o         Any one shift can be chosen to write the exam for a course.

Final List of exam cities will be available in exam registration form.

Exam registration url - Will be announced shortly

Once again, thank you for your interest in our online courses and certification.

  Happy learning - NPTEL team.

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

Dear Candidate,

Here is a golden opportunity for those who had previously enrolled in this course during the Jan 2023 semester, but could not participate in the exams or were absent/did not pass the exam for this course. This course is being reoffered in July 2023 and we are giving you another chance to write the exam in October 2023 and obtain a certificate based on NPTEL norms. Do not let go of this unique opportunity to earn a certificate from the IITs/IISc.

IMPORTANT instructions for learners - Please read this carefully  

1. The exam date for this course: Oct 29, 2023

2. CLICK HERE to register for the exam.

Please fill the exam form using the same Enrolled email id & make fee payment via the form, as before.

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

4. You DO NOT have to re-enroll in the courses. 

5. You DO NOT have to resubmit Assignments OR participate in the non-proctored programming exams(if applicable) in the previous semester

6. If you do enroll in the July 2023 course, we will take the best average assignment scores/non-proctored programming exam(if applicable) score across the two semesters.

Please check once if you have >= 40/100  in average assignment score and also participated and satisfied the criteria in the non-proctored programming exams(if applicable) that were conducted in Jan 2023 to become eligible for the e-certificate, wherever applicable.

If not, please submit assignments again in the July 2023 course and also participate in the non-proctored programming exams(if applicable) to become eligible for the e-certificate.

We will not be having new assignments or unproctored exams(if applicable) in the previous semester's (Jan 2023) course. 

RECOMMENDATION: If you want to take new assignments and an unproctored exam(if applicable) or brush up on your lessons for the exam, please enroll in the July 2023 course.

Click here to enroll in the current course, links are provided corresponding to the course name.

7. 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 .

8. 50% fee waiver for the following categories: 

Students belonging to the SC/ST category: please select Yes for the SC/ST option and upload the correct Community certificate.

Students belonging to the PwD category with more than 40% disability: please select Yes for the option and upload the relevant Disability certificate. 

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

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

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

12. HALL TICKET: 

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date. We will confirm the same through an announcement once it is published. 

13. 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. 

14. Data changes: 

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

We will charge an additional fee of Rs. 200 to make any changes related to name, DOB, photo, signature, SC/ST and PWD certificates after the last date of data changes.

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: - 

REMOVE unpaid courses from the cart And/or - CANCEL paid courses 

1. Do you come under the SC/ST category? * 

2. SC/ST Proof 

3. Are you a person with disabilities? * 

4. Are you a person with disabilities above 40%? 

5. Disabilities Proof 

6. What is your role? 

Note: Once you remove or cancel a course, you will be able to edit these fields immediately. 

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

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

16. Click here to view Timeline and Guideline : Guideline

Domain Certification

Domain Certification helps learners to gain expertise in a specific Area/Domain. This can be helpful for learners who wish to work in a particular area as part of their job or research or for those appearing for some competitive exam or becoming job ready or specialising in an area of study.  

Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise. Kindly refer to the following link for the list of courses available under each domain: https://nptel.ac.in/domains

Outside India Candidates

Candidates who are residing outside India may also fill the exam form and pay the fees. Mode of exam and other details will be communicated to you separately.

Thanks & Regards, 

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 April 2023 Exam(s). Step 1 - Are the results of my courses released? Please check the Results published courses list in the below links.:- Apr 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

Survey on Problem Solving sessions - Introduction to Machine Learning - (noc23-cs18)

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/18R3vlAYxYGwda5bbutnUq0R2MSgiMRrbve5cJ7qD5W8/viewform -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/1cD0v9YXupkwZMligiNMvxoczy5-iYj21rpSjONuAX54/viewform We thank you for your valuable time and feedback. Thanks & Regards, -NPTEL Team

April 2023 NPTEL Exams - Hall Tickets Released!

***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES***     ****Please don't click on below link, if you are not registered for the Exam**** Dear Candidate, Your Hall Ticket / admit card for the NPTEL Exam(s) in April, 2023 has been released. Please login to https://internalapp.nptel.ac.in/ using your exam registered email id and download your hall ticket. Note:  Requests for changes in exam city, exam center, exam date, session, or course will NOT be entertained. Please write to [email protected] for any further queries. All the best for your exams! Warm Regards NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 12 live now!!

Dear Learner, Assignment 12 solutions are available in the portal, Go through it once . Assignment 12 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=129&lesson=134 -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. Session 1:  Date:April 22, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 22, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj 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: April 21, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd 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. Session 1:  Date:April 15, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 15, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning : Problem solving Session 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: April 14, 2023 - Friday Time: 04.00 PM - 06.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 11 live now!!

Dear Learner, Assignment 11 solutions are available in the portal, Go through it once . Assignment 11 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=122&lesson=127 -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/12xV5aJuc8r4uCZJVncM-uW6WVEMjFfIw6aSDN58uMbw/viewform Thank you -NPTEL team

Exam Format - April, 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. Session 1:  Date:April 08, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 08, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -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_cs18/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_cs18/unit?unit=129&assessment=171 Assignment-12  for Week-12  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=129&assessment=159 The assignment has to be submitted on or before Wednesday,[19/04/2023], 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: April 07, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 10 live now!!

Dear Learner, Assignment 10 solutions are available in the portal, Go through it once . Assignment 10 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=113&lesson=120 -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. Session 1:  Date:April 01, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 01, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj 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_cs18/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_cs18/unit?unit=122&assessment=170 Assignment-11  for Week-11  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=122&assessment=158 The assignment has to be submitted on or before Wednesday,[12/04/2023], 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 : Assignment solutions for Assignment 9 live now!!

Dear Learner, Assignment 9 solutions are available in the portal, Go through it once . Assignment 9 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=104&lesson=110 -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: March 31, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd 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. Session 1:  Date:March 25, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 25, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj 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_cs18/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_cs18/unit?unit=113&assessment=169 Assignment-10  for Week-10  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=113&assessment=157 The assignment has to be submitted on or before Wednesday,[05/04/2023], 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 : Problem solving Session Postponed!!

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today (March 24, 2023 - Friday)(06.00 PM - 08.00 PM) is Postponed to March 25, 2023 - Saturday. We invite you to join the session and get your doubts cleared and learn better. Date: March 25, 2023 - Saturday Time:  03.00 PM - 05.00 PM Link to join:  https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 8 live now!!

Dear Learner, Assignment 8 solutions are available in the portal, Go through it once . Assignment 8 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=95&lesson=102 -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: March 24, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Problem solving Session Cancellation!!

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized for the course Introduction to Machine Learning on every  Saturday  from  05.00 PM - 07.00 PM  is cancelled. -NPTEL Team

Potential additional date (April 28th) for the April 2023 NPTEL exams

***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES*** Dear Student, Greetings from NPTEL! The Jan 2023 session is coming to an end soon and it’s time to put all your best efforts for the certification exam. The NPTEL team has always been there to make your learning process a joyful one and we hope that with your support we will be able to overcome the challenges of conducting a nation-wide exam of this magnitude. With the closure of exam registration form for the NPTEL April 2023 exams, the final registration count stands at 5.1 Lakh compared to 3.7 Lakh reported during the Jul-Dec 2022 semester. Based on the previous semester data, seats at the certification exam centres are booked by NPTEL at the beginning of the exam registration process. As the semester progresses, sometimes these numbers exceed our estimate, especially on certain dates and certain exam cities. Our goal is to allocate the chosen exam cities to all our learners. And by and large, we are able to allocate the chosen cities and dates with active support from our exam partner and our partner colleges. All efforts are being made to allocate the city of choice or the next nearest exam city for the April 29th/30th 2023 exams, as scheduled. However, in view of the unexpectedly large volume of exam registrations & limitation of seats at certain cities on a particular date, we may be compelled to shift the exam date of certain candidates to 28th April 2023 (Friday) as a last resort, only after exhausting all possibilities. We hope that you will appreciate our logistical constraints of such rescheduling and extend all necessary support as before and participate in the exam. With best wishes for the forthcoming exam(s), Warm regards, NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 7 live now!!

Dear Learner, Assignment 7 solutions are available in the portal, Go through it once . Assignment 7 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=84&lesson=93 -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. Session 1:  Date:March 18, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 18, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: March 18, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj 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_cs18/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_cs18/unit?unit=104&assessment=168 Assignment-9  for Week-9  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=104&assessment=156 The assignment has to be submitted on or before Wednesday,[29/03/2023], 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: March 17, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Week 8 Feedback Form: Introduction to Machine Learning

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/18R3vlAYxYGwda5bbutnUq0R2MSgiMRrbve5cJ7qD5W8/viewform

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: March 13, 2023 - Monday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today (March 11, 2023 - Saturday)(07.00 PM - 09.00 PM) is Postponed to March 13, 2023 - Monday. The G-meet link for the session will be shared before the session. -NPTEL Team

Introduction to Machine Learning - Week 8 content 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_cs18/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_cs18/unit?unit=95&assessment=164 Assignment-8  for Week-8  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=95&assessment=155 The assignment has to be submitted on or before Wednesday,[22/03/2023], 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. Session 1:  Date:March 11, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 11, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: March 11, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 6 live now!!

Dear Learner, Assignment 6 solutions are available in the portal, Go through it once . Assignment 6 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=71&lesson=82 -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: March 10, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd 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: March 05, 2023 - Sunday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 7 content 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_cs18/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_cs18/unit?unit=84&assessment=167 Assignment-7  for Week-7  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=84&assessment=154 The assignment has to be submitted on or before Wednesday,[15/03/2023], 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 learner, Due to unavoidable circumstances, The Problem solving Session organized tomorrow (March 4, 2023 - Saturday)(07.00 PM - 09.00 PM) is Postponed to March 5, 2023 - Sunday. 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. Session 1:  Date:March 04, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 04, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv 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: March 03, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 5 live now!!

Dear Learner, Assignment 5 solutions are available in the portal, Go through it once . Assignment 5 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=60&lesson=70 -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. Session 1:  Date:February 25, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: February 25, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: February 25, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 6 content 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_cs18/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_cs18/unit?unit=71&assessment=163 Assignment-6  for Week-6  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=71&assessment=153 The assignment has to be submitted on or before Wednesday,[08/03/2023], 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: February 24, 2023 - Friday Time:04.30 PM - 06.30 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 4 live now!!

Dear Learner, Assignment 4 solutions are available in the portal, Go through it once . Assignment 4 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=51&lesson=59 -Nptel Team

Week 5 Feedback Form: Introduction to Machine Learning

Introduction to machine learning - week 5 content 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_cs18/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_cs18/unit?unit=60&assessment=162 Assignment-5  for Week-5  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=60&assessment=152 The assignment has to be submitted on or before Wednesday,[01/03/2023], 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. Session 1:  Date:February 18, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: February 18, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: February 18, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 3 live now!!

Dear Learner, Assignment 3 solutions are available in the portal ,Go through it once . Assignment 3 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=42&lesson=49 -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: February 17, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Week 4 Feedback Form: Introduction to Machine Learning

Introduction to machine learning - problem solving session recording is available.

Dear Learner, We have uploaded the Recorded videos of the Live Interaction Session - Problem solving Session of Week 1 . Videos are uploaded inside the Separate Unit called " Problem solving Session " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Introduction to Machine Learning : Problem solving Session

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. Session 1:  Date:February 10, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 2 :  Date: February 10, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Session 3 :  Date: February 10, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 4 content 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_cs18/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_cs18/unit?unit=51&assessment=166 Assignment-4  for Week-4  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=51&assessment=151 The assignment has to be submitted on or before Wednesday,[22/02/2023], 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: February 10, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignments 1 & 2 live now!!

Dear Learner, Assignments 1 & 2 solutions are available in the portal ,Go through it once . Assignment 1 solutions :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&lesson=31 Assignment 2 solutions :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=32&lesson=41 -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: February 4, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 2 :  Date: February 4, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Session 3 :  Date: February 4, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 3 content 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_cs18/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_cs18/unit?unit=42&assessment=165 Assignment-3  for Week-3  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=42&assessment=150 The assignment has to be submitted on or before Wednesday,[15/02/2023], 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: February 3, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

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: February 3, 2023 When: Every Friday Time: 06.00 PM - 08.00 PM Link to join:  https://meet.google.com/chq-qqbr-fxd Session 2 :  Start Date: February 4, 2023 When: Every Saturday Time: 05.00 PM - 07.00 PM Link to join:   meet.google.com/epj-ejva-hfv Session 3 :  Start Date:  February 4, 2023 When: Every Saturday Time: 07.00 PM - 09.00 PM Link to join:   meet.google.com/aqg-nqgx-mgj Session 4 :  Start Date:  February 4, 2023 When: Every Saturday Time: 03.00 PM - 05.00 PM Link to join:   https://meet.google.com/ajc-ehpn-eey Thank you. -NPTEL team

Week 2 Feedback Form: Introduction to Machine Learning

Introduction to machine learning - week-2 content 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:  https://onlinecourses.nptel.ac.in/noc23_cs18/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_cs18/unit?unit=32&assessment=161 Assignment-2 for Week-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=32&assessment=148 The assignment has to be submitted on or before Wednesday,[08/02/2023], 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

Week 1 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/12xV5aJuc8r4uCZJVncM-uW6WVEMjFfIw6aSDN58uMbw/viewform Thank you -NPTEL team

Introduction to Machine Learning - Week 1 content 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:  https://onlinecourses.nptel.ac.in/noc23_cs18/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_cs18/unit?unit=22&assessment=160 Assignment-1 for Week-1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&assessment=147 The assignment has to be submitted on or before Wednesday,[08/02/2023], 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-1 video 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_cs18/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). 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 & Regards   -NPTEL Team

Introduction to Machine Learning - Week 0 content 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_cs18/unit?unit=16&assessment=146 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 Jan 2023 courses!

Dear Learner, 

Here is the much-awaited announcement on registering for the Jan 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: Apr 30, 2023

CLICK HERE to register for the exam. 

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

4. Exam fees: 

If you register for the exam and pay before Mar 17, 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: Mar 17, 2023, 5:00 PM (Friday). 

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

8. HALL TICKET: 

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date . We will confirm the same through an announcement once it is published. 

9. 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. 

10. Data changes: 

Last date for data changes: Mar 17, 2023, 5:00 PM :  

All the fields in the Exam form except for the following ones can be changed until the form closes. 

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

6. What is your role ? 

11. LAST DATE FOR CANCELLING EXAMS and getting a refund: Mar 17, 2023, 5:00 PM  

12. Click here to view Timeline and Guideline : Guideline

Introduction to Machine Learning: Welcome to NPTEL Online Course - Jan 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: April 30, 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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