### NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 1

## NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 1

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.

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: a, c , d

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.

## NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 1

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)

Answer: a, b , c

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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### Problem Solving Through Programming In C NPTEL Assignment 9