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[2026-05-30T10:15:00] commit #1: feat: add data preprocessing pipeline
[2026-05-30T11:42:00] commit #2: feat: implement feature engineering module
[2026-05-30T13:20:00] commit #3: fix: resolve null handling in dataset loader
[2026-05-30T15:05:00] commit #4: refactor: clean up model training script
[2026-05-30T17:33:00] commit #5: docs: update README with usage instructions
[2026-05-30T19:50:00] commit #6: chore: add requirements.txt and .gitignore
[2026-05-30T09:10:00] commit #7: feat: add model evaluation metrics
[2026-05-30T10:45:00] commit #8: feat: implement cross-validation logic
[2026-05-30T12:30:00] commit #9: fix: correct label encoding for categorical vars
[2026-05-30T14:15:00] commit #10: refactor: modularise training and inference code
[2026-05-30T15:55:00] commit #11: test: add unit tests for data pipeline
[2026-05-30T17:20:00] commit #12: docs: add model architecture explanation
[2026-05-30T19:40:00] commit #13: chore: update .gitignore and project structure