ML Theory

S.N.	Problem	Level
1	Estimate Classifier Error I	Easy
2	Probability of Boy	Easy
3	Simulate a Biased Coin	Easy
4	Ant Collisions on equilateral Triangle	Medium
5	Randomly Sample a data point from a PDF	Medium
6	Generate Random numbers between 1-12	Hard
7	Estimate Minimum Number of Red Balls	Medium
8	Who will win the game	Hard
9	Double the Number	Medium
10	Median Greater than 2	Medium
11	Probability of Actual Spam	Medium
12	Replace School Principal	Medium
13	Unfair Coin Probability	Hard
14	Excpected Number of dice throw	Medium
15	Win A Lottery	Hard

S.N.	Problem	Level
1	Explain Mathematical details of Linear Regression Model	Medium
2	Why do we optimize Least square cost function in Linear Regression	Hard
3	Explain Mathematics of Logistic Regression model	Medium
4	Derive logistic Regression cost function using MLE	Hard
5	Explain how will you evaluate a clustering algorithm	Medium
6	Explain how decision tree works	Medium
7	Explain Concept of Entropy in Decision Tree	Medium
8	Explain Concept of Information Gain in Decision Tree	Medium
9	Explain how Random Forest Algorithm works	Medium