ML Coding

S.N.	Problem	Level
1	Find Minima of convex Function using Gradient Descent	Easy
2	Code Linear Regression Algorithm	Medium
3	Code Logistic Regression Algorithm	Medium
4	Code Decision Tree Algorithm	Hard
5	Code Neural Network with one hidden Layer	Hard
6	Implement Beam Search	Hard

S.N.	Problem	Level
1	Code K-Means Algorithm	Easy
2	1D clustering with deterministic clusters in O(N^2)	Medium
3	1D clustering with deterministic clusters in O(N)	Hard

S.N.	Problem	Level
1	N samples from a distribution	Medium
2	Sample a point randomly from a Circle of radius R	Medium
3	Reservoir Sampling	Medium
4	Estimate Expected number of Unique data points in a bootstrap sample	Hard

S.N.	Problem	Level
1	Shuffle an Array	Medium
2	Moving Average of Stream data	Medium
3	Mean and variance of Stream data	Medium
4	Huffman Encoding	Medium
5	Implement rand10() using rand7()	Medium
6	Geometric Median	Medium
7	Find K Nearest 2-D Points (x,y) from Origin in a Stream of 2D data	Medium
8	Median of Stream	Hard