introduction to machine learning nptel assignment 2 answers

• Computer Science and Engineering
• NOC:Introduction to Machine Learning (Video) 
• Co-ordinated by : IIT Kharagpur
• Available from : 2016-09-08
• Intro Video
• Lecture 01: Introduction
• Lecture 02: Different Types of Learning
• Lecture 03: Hypothesis Space and Inductive Bias
• Lecture 04: Evaluation and Cross-Validation
• Lecture 05 : Linear Regression
• Lecture 06 : Introduction to Decision Trees
• Lecture 07 : Learning Decision Tree
• Lecture 08 : Overfitting
• Lecture 9: Python Exercise on Decision Tree and Linear Regression
• Tutorial II
• Lecture 12: k-Nearest Neighbour
• Lecture 13: Feature Selection
• Lecture 14: Feature Extraction
• Lecture 15: Collaborative Filtering
• Lecture 16: Python Exercise on kNN and PCA
• Lecture 17: Tutorial III
• Lecture 18: Bayesian Learning
• Lecture 19: Naive Bayes
• Lecture 20 : Bayesian Network
• Lecture 21: Python Exercise on Naive Bayes
• Lecture 22: Tutorial IV
• Lecture 23 : Logistic Regression
• Lecture 24: Introduction Support Vector Machine
• Lecture 25: SVM : The Dual Formulation
• Lecture 26: SVM : Maximum Margin with Noise
• Lecture 27: Nonlinear SVM and Kernel Function
• Lecture 28: SVM : Solution to the Dual Problem
• Lecture 29: Python Exercise on SVM
• Lecture 30: Introduction
• Lecture 31: Multilayer Neural Network
• Lecture 32 : Neural Network and Backpropagation Algorithm
• Lecture 33: Deep Neural Network
• Lecture 34: Python Exercise on Neural Network
• Lecture 35: Tutorial VI
• Lecture 36: Introduction to Computational Learning Theory
• Lecture 37: Sample Complexity : Finite Hypothesis Space
• Lecture 38: VC Dimension
• Lecture 39 : Introduction to Ensembles
• Lecture 40 : Bagging and Boosting
• Lecture 41 : Introduction to Clustering
• Lecture 42 : Kmeans Clustering
• Lecture 43: Agglomerative Hierarchical Clustering
• Lecture 44: Python Exercise on kmeans clustering
• Watch on YouTube
• Assignments
• Download Videos
• Transcripts

Category: NPTEL

Introduction to internet of things week 10, introduction to industry 4.0 and industrial internet of things | week 10, principles of management | week 11, introduction to machine learning | week 10, an introduction to artificial intelligence | week 10, the joy of computing using python | week 10, the joy of computing using python | week 9, quantum mechanics 1 | week 10, quantum mechanics 1 | week 9, programming in modern c++ | week 10.

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

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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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Introduction to Machine Learning (Tamil) : 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/1lRWsWIkPZlX7jT4NzPVeCW3iWbIwuzS_091lHp4Xuj0/viewform We thank you for your valuable time and feedback. Thanks & Regards, -NPTEL Team

March 2024 NPTEL Exams - Hall Tickets Released!

Introduction to Machine Learning (Tamil) : 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: March 18, 2024 - Monday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/hwb-tupr-uxk Happy Learning. -NPTEL Team

Introduction to Machine Learning (Tamil) : Assignment 7 Solutions Released!!

Dear Learners, The Solutions of Week 7 for the course "Introduction to Machine Learning (Tamil)" have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum. Assignment 7 Solution Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=76&lesson=162 Happy Learning! Thanks & Regards, NPTEL Team

Introduction to Machine Learning (Tamil) : Problem solving Session Postponed!!

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized Tomorrow  (March 17, 2024 - Sunday)( 03.00 PM - 05.00 PM ) is Postponed to March 18, 2024 - Monday. The G-meet link for the session will be shared before the session. -NPTEL Team

Week 8 Feedback Form: Introduction to Machine Learning (Tamil)!!

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Introduction to Machine Learning (Tamil) : Week 8 content & Assignment is live now !!

Dear Learners, The lecture videos for Week 8 have been uploaded for the course " Introduction to Machine Learning (Tamil) " . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/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-1 for Week-8 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=84&assessment=144 Assignment-1 for Week-8 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=84&assessment=161 The assignment has to be submitted on or before Wednesday,[20/03/2024], 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

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Introduction to Machine Learning (Tamil) : Assignment 6 Solutions Released!!

Dear Learners, The Solutions of Week 6 for the course "Introduction to Machine Learning (Tamil)" have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum. Assignment 6 Solution Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=69&lesson=157 Happy Learning! Thanks & Regards, NPTEL Team

Week 7 Feedback Form: Introduction to Machine Learning (Tamil)!!

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, 2024 - Sunday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/hwb-tupr-uxk Happy Learning. -NPTEL Team

Introduction to Machine Learning (Tamil) : Week 7 content & Assignment is live now !!

Dear Learners, The lecture videos for Week 7 have been uploaded for the course " Introduction to Machine Learning (Tamil) " . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=76&lesson=77 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-7 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=76&assessment=143 Assignment-1 for Week-7 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=76&assessment=160 The assignment has to be submitted on or before Wednesday,[13/03/2024], 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 (Tamil) : Assignment 5 Solutions Released!!

Dear Learners, The Solutions of Week 5 for the course "Introduction to Machine Learning (Tamil)" have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum. Assignment 5 Solution Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=60&lesson=158 Happy Learning! Thanks & Regards, NPTEL Team

Week 6 Feedback Form: Introduction to Machine Learning (Tamil)!!

Introduction to machine learning (tamil) : assignment 3 reevaluations.

Dear Learners, Assignment 3 submission of all students has been reevaluated by changing the answe r for question number 7. Students are requested to find their revised scores of Assignment 3 on the Progress page.  -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: Feb 25, 2024 - Sunday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/hwb-tupr-uxk Happy Learning. -NPTEL Team

Introduction to Machine Learning (Tamil) : Week 6 content & Assignment is live now !!

Dear Learners, The lecture videos for Week 6 have been uploaded for the course " Introduction to Machine Learning (Tamil) " . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=69&lesson=70 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-6 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=69&assessment=142 Assignment-1 for Week-6 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=69&assessment=156 The assignment has to be submitted on or before Wednesday,[06/03/2024], 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 (Tamil) : Assignment 4 Solutions Released!!

Dear Learners, The Solutions of Week 4 for the course "Introduction to Machine Learning (Tamil)" have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum. Assignment 4 Solution Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=46&lesson=159 Happy Learning! Thanks & Regards, NPTEL Team

Week 5 Feedback Form: Introduction to Machine Learning (Tamil)!!

Introduction to machine learning (tamil) : week 5 content & assignment is live now .

Dear Learners, The lecture videos for Week 5 have been uploaded for the course " Introduction to Machine Learning (Tamil) " . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/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-1 for Week-5 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=60&assessment=141 Assignment-1 for Week-5 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=60&assessment=155 The assignment has to be submitted on or before Wednesday,[28/02/2024], 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: Feb 18, 2024 - Sunday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/hwb-tupr-uxk Happy Learning. -NPTEL Team

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Introduction to Machine Learning (Tamil) : Assignment 3 Solutions Released!!

Dear Learners, The Solutions of Week 3 for the course "Introduction to Machine Learning (Tamil)" have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum. Assignment 3 Solution Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=38&lesson=152 Happy Learning! Thanks & Regards, NPTEL Team

Week 4 Feedback Form: Introduction to Machine Learning (Tamil)!!

Introduction to machine learning (tamil) : assignment 1 & 2 reevaluations.

Dear Learners, Assignment 2 submission of all students has been reevaluated by making the weightage as 0 for question number 4. Assignment 1 submission of all students has been reevaluated by changing the answer for question number 8 and Assignment 2 submission of all students has been reevaluated by changing the answer for question number 2 and 8 . Students are requested to find their revised scores of Assignment 1 and 2 on the Progress page .  -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: Feb 11, 2024 - Sunday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/hwb-tupr-uxk Happy Learning. -NPTEL Team

Introduction to Machine Learning (Tamil) : Week 4 content & Assignment is live now !!

Dear Learners, The lecture videos for Week 4 have been uploaded for the course " Introduction to Machine Learning (Tamil) " . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=46&lesson=47 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-4 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=46&assessment=140 Assignment-1 for Week-4 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=46&assessment=154 The assignment has to be submitted on or before Wednesday,[21/02/2024], 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 (Tamil) : Assignment 1 and 2 Solutions Released!!

Dear Learners, The Solutions of Week 1 and Week 2 for the course "Introduction to Machine Learning (Tamil)" have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum. Assignment 1 Solution Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=16&lesson=150 Assignment 2 Solution Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=27&lesson=151 Happy Learning! Thanks & Regards, NPTEL Team

Introduction to Machine Learning (Tamil): Reminder for Assignment 1 & 2 deadline!!

Dear Learners, The Deadline for Assignments 1 & 2 will close on Wednesday,[07/02/2024], 23:59 IST. Kindly submit the assignments before the deadline. Thanks and Regards, -NPTEL Team

Week 3 Feedback Form: Introduction to Machine Learning (Tamil)!!

Introduction to machine learning (tamil) : week 3 content & assignment is live now .

Dear Learners, The lecture videos for Week 3 have been uploaded for the course " Introduction to Machine Learning (Tamil) " . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=38&lesson=39 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-3 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=38&assessment=139 Assignment-1 for Week-3 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=38&assessment=149 The assignment has to be submitted on or before Wednesday,[14/02/2024], 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: Feb 04, 2024 - Sunday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/hwb-tupr-uxk Happy Learning. -NPTEL Team

Introduction to Machine Learning (Tamil) - 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

Reminder: NPTEL: Exam Registration is open now for Jan 2024 courses!

Dear Learner, 

Here is the much-awaited announcement on registering for the Jan 2024 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: Mar 24, 2024 

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 Feb 12, 2024 - 5:00 PM, Exam fees will be Rs. 1000/- per exam .

5. 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. 

6. Last date for exam registration: Feb 16, 2024 - 5:00 PM (Friday). 

7. Between Feb 12, 2024 - 5:00 PM & Feb 16, 2024 - 5:00 PM late fee will be applicable.

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

9. 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. 

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: Feb 16, 2024 - 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. 

12. LAST DATE FOR CANCELLING EXAMS and getting a refund: Feb 16, 2024 - 5:00 PM  

13. 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 as 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, 

Week 2 Feedback Form: Introduction to Machine Learning (Tamil)!!

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: Jan 28, 2024 - Monday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/hwb-tupr-uxk Happy Learning. -NPTEL Team

Introduction to Machine Learning (Tamil) : Week 2 content & Assignment is live now !!

Dear Learners, The lecture videos for Week 2 have been uploaded for the course " Introduction to Machine Learning (Tamil) " . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=27&lesson=28 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-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=27&assessment=138 Assignment-1 for Week-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=27&assessment=146 The assignment has to be submitted on or before Wednesday,[07/02/2024], 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: Jan 28, 2024 - Sunday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/hwb-tupr-uxk Happy Learning. -NPTEL Team

Week 1 Feedback Form: Introduction to Machine Learning (Tamil)!!

Introduction to machine learning (tamil) : week 1 content & assignment is live now .

Dear Learners, The lecture videos for Week 1 have been uploaded for the course " Introduction to Machine Learning (Tamil) " . The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=16&lesson=17 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/noc24_cs36/unit?unit=16&assessment=137 Assignment-1 for Week-1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=16&assessment=145 The assignment has to be submitted on or before Wednesday,[07/02/2024], 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 (Tamil) : Week-1 video is live now !!

Dear Learners, The lecture videos for Week 1 have been uploaded for the course “ Introduction to Machine Learning (Tamil) ” . The lectures can be accessed using the following link. Link:  https://onlinecourses.nptel.ac.in/noc24_cs36/unit?unit=16&lesson=17 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

Introduction to Machine Learning (Tamil) : Assignment 0 is live now!!

Dear Learners, We welcome you all to the course "Introduction to Machine Learning (Tamil)" . 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/noc24_cs36/unit?unit=100&lesson=102 Please note that this assignment is only for practice and it will not be graded. Thanks & Regards   -NPTEL Team

NPTEL: Exam Registration is open now for Jan 2024 courses!

Introduction to machine learning (tamil): welcome to nptel online course - jan 2024.

• 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: March 24, 2024 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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