NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 1 Answers:- Hello students in this article we are going to share NPTEL The Joy of Computing using Python assignment week 1 answers. All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.
About INTRODUCTION TO MACHINE LEARNING Course:-
With the growth of Information and Communication Technology, there is a need to develop large and complex software. Further, those software should be platform independent, Internet enabled, easy to modify, secure, and robust. To meet this requirement object-oriented paradigm has been developed and based on this paradigm the Java programming language emerges as the best programming environment.
Criteria to get Certificate:-
This course is a week 12 course the best of 8 out 12 assignments marks will be calculated for final result.
Below are mentioned criteria for final result
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.
Below you can find NPTEL INTRODUCTION TO MACHINE LEARNING Assignment 1 Answers
|INTRODUCTION TO MACHINE LEARNING Assignment 1||Click Here|
|INTRODUCTION TO MACHINE LEARNING Assignment 2||Click Here|
|INTRODUCTION TO MACHINE LEARNING Assignment 3||Click Here|
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NPTEL INTRODUCTION TO MACHINE LEARNING Assignment 1 Answers 2022:-
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.
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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.
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)
Next Week Assignment Answers
7. Find the mean of squared error for the given predictions:
8. Find the mean of 0-1 loss for the given predictions:
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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