Machine Learning

Next Steps

What to learn after you finish the basics.

Intermediate Roadmap

  • Feature engineering (time windows, aggregations, text basics).
  • Tree boosting (XGBoost/LightGBM/CatBoost concepts).
  • Better evaluation (temporal CV, calibration, robust validation).
  • MLOps habits (experiment tracking, model registry, monitoring).