machine-learning

Use when predicting a column from rows of tabular features with classic models — scikit-learn pipelines, RandomForest, XGBoost/LightGBM, leak-free cross-validation, metrics for imbalanced classes, or a model that aced CV then collapsed in production. NOT PyTorch neural nets (that is deep-learning), NOT cleaning the dirty table first (that is data-cleaning), NOT forecasting a dated series (that is forecasting), NOT…