June 8, 2020

This book describes all the basic ML models. Ideal to start a data science career when you haven’t got a degree in statistics or computer science. It is very comprehensible, has a lot of applications and exercises in R and is the companion book of the Stanford online course.

Linear Regression

Other good doc: sklearn StatsModels stats car (diagnostics)

Classification

Resampling Methods

Linear Model Selection and Regulariation

Beyond Linearity

Ensemble Methods

Support Vector Machines

Unsupervised Learning