Data Science

Teaching resources:

To start with, here is an Introduction to R, borrowed from ISLR.

An Introduction on how to do Linear Regression in R. Borrowed from ISLR.

A brief tutorial to use Classification Methods in R. Borrowed from ISLR.

A brief tutorial on using Decision Tree based methods using R. Borrowed from ISLR.

Learn how to use Sparse Matrix in R.

Here is a presentation to understand Boosting Algorithm.

How to tune the hyper parameters of Random Forest in R? This tutorial will help you to learn.

A brief introduction to Support Vector Machines and how to implement it on R.

A mini tutorial on Support Vector Regression on R.

What is Artificial Neural Network? How to use it in R? Head here to learn about it.

If you want to understand Principal Component Analysis for Machine Learning, THIS might help you.

Want to know more about ensemble methods? SuperLearner algorithm awaits you.

Clustering is a wonderful method to understand groups. Learn about it here.