Please enable JavaScript.
Coggle requires JavaScript to display documents.
Basics of statistical learning - Coggle Diagram
Basics of statistical learning
Choosing best methods
Cross validation
Bootstrap
supervised learning
Non-linear statistical learning
tree-based methods
boosting
Random forests
Bagging
Deep learning
survival analysis
Linear regression
Categorical
Logistic regression
Linear discriminant analysis
Improvements over standard linear regression
Principal components regression
stepwise selection
ridge and lasso
Multiple hypothesis testing
unsupervised learning
hierarchical clustering
K-means clustering
Principal components analysis
K-nearest neighbor classifier