Custom ML Checkpoints
Checkpoint #1 - Basic stats, various distributions
Checkpoint #2 - parametric methods, multivariate methods
Checkpoint #3 - Clustering, matrix
For the future - linear regression in at least 1D, associations, hierarchical clustering, non-parametric methods, decision tree for classification and regression.