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.