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
| Assignment No. | 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 |
| INTRODUCTION TO MACHINE LEARNING Assignment 4 | Click Here |
| INTRODUCTION TO MACHINE LEARNING Assignment 5 | Click Here |
| INTRODUCTION TO MACHINE LEARNING Assignment 6 | Click Here |
| INTRODUCTION TO MACHINE LEARNING Assignment 7 | Click Here |
| INTRODUCTION TO MACHINE LEARNING Assignment 8 | Click Here |
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.
Answer:-
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.
Answer:-
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.
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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)?
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6. Which of the following is a reinforcement learning task? (multiple options may be correct)
Next Week Assignment Answers
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7. Find the mean of squared error for the given predictions:
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8. Find the mean of 0-1 loss for the given predictions:
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9. Bias and variance are given by:
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10. Which of the following are true about bias and variance? (multiple options may be correct)
Answer:-
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