Statistical Machine Learning Algorithms, implemented in R

Various Statistical and Machine Learning Algorithms, mainly from the ISLR book and datasets.

Topics: Linear Regression, Logistic Regression, Trees & Random Forest, KNN, SVM etc. In addition to important Machine Learning methods such as Cross-Validation, Model & Feature Selection, Regularization.

All the models are initially implemented from scratch, and later using the prebuilt libraries. (c) Dean Shabi

https://www-bcf.usc.edu/~gareth/ISL/