This repository contain implementation of machine learning algorithms.

This repositroy contain code to understand statistical inference in exploratory data analysis and data visualization. Topics covered include linear regression methods such as ridge, LASSO, least squares. Classification methods such as logistic regression, SVM. Regularization and feature selection methods. Classification and regression trees including random forests and extreme gradient boosting. Model selection and cross validation.