Overview | Step 1: Profile your data | Step 2: Split into train/valid/test | Step 3: Screen algorithms | Step 4: Fit and evaluate | Step 5: Explain feature importance | Step 6: Validate against rules | Step 7: Assess on test data (once) | Step 8: Save and load | Module-style interface | Regression example | Available algorithms