Machine-learning-lab

This repository includes different algorithms of Machine Learning

• Lab_1 : Linear Regression
• Lab_2 : Linear Regression via Normal Equations
• Lab_3 : Data preprocessing and Linear Regression with Gradient Descent
• Lab_4 : Logistic Regression with Gradient Ascent and Newton Algorithm
• Lab_5 : Linear Classification with Gradient Descent,Hyper-parameter tuning and Cross validation
• Lab_6 : Generalized Linear Models with Scikit Learn,Polynomial Regression and Coordinate Descent
• Lab_7 : K-Nearest Neighbor (KNN)
• Lab_9 : A spam filter using SVM
• Lab_10: Implement basic matrix factorization (MF) technique for recommender systems
• Lab_11: K Means clustering algorithm

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