My work in the course Introduction to Machine Learning at IITK in the Fall Semester 2021.
K-Nearest Neighbours
L0 regularization (Greedy paradigm)
Decision Trees
Gradient Descent
Linear Regression and Mini-Batch SGD
Baye's Rule
MLE
Perceptron Algorithm for bank-note authentication
A study on Markov Chain Monte Carlo
Unsupervised Learning :
KMeans
Kernel KMeans - Guassian Kernel
Expectation Maximization