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



Links

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