This repository contains a curated set of 50 tips for using scikit-learn, a popular Python machine learning library. Each tip is presented as a Jupyter notebook that demonstrates a specific technique or concept, accompanied by video explanations. Topics covered include data preprocessing with ColumnTransformer, model selection, feature engineering, and common ML workflows.