Custom ML Checkpoints
Checkpoint #1 - Basic stats, various distributions, associations
Checkpoint #2 - parametric methods, multivariate methods, matrix, linear regression with arbitrary functions (includes multivariate)
Checkpoint #3 - Clustering (including hierarchical clustering)
Checkpoint #4 - non-parametric methods, decision tree
Checkpoint #5 - Multi-layer Perceptron