scikit-learn: Pipelines and Model Training

Start here (free course, with videos): scikit-learn MOOC, built by the scikit-learn core team → https://inria.github.io/scikit-learn-mooc/

Goal: Learn to build a reproducible feature-and-model pipeline with scikit-learn, handling missing values, encoding, and scaling, then tune it with cross-validation, the same pipeline that runs at training and inference.

Do:

1. Work through "The predictive modeling pipeline" and "Selecting the best model" ⬆️

2. Focus on ColumnTransformer, Pipeline, cross-validation, and hyperparameter tuning