Machine learning 1

Lab 1. Introduction to machine learning

materials 1

Lab 2. Linear regression and logistic regression

Lab 3. Linear and quadratic discriminant analysis

Lab 4. Cost functions and evaluation metrics

Lab 5. Cross validation

Lab 6. K nearest neighbours

Lab 7. Support Vector Machines

Lab 8. Feature selection

Lab 9. Feature engineering

Lab 10. Dealing with missing data

Lab 11. Regularization: ridge and LASSO

Lab 12. Rebalancing methods

Lab 13. Introduction to regular expressions


The Comprehensive R Archive Network

R Studio

R-bloggers - R news and tutorials

Advanced R by Hadley Wickham

In-depth introduction to machine learning in 15 hours of expert videos

An Introduction to Statistical Learning with Applications in R