Core Concepts & Evaluation. Supervised vs. Unsupervised. Supervised learning trains on labeled input-output pairs to predict outputs for new inputs — classification predicts a discrete category, regression predicts a con…
ReadFeature Engineering, Models & Pitfalls. Feature Scaling — the Right Way. from sklearn.preprocessing import StandardScaler # CORRECT — fit scaler on train only, then transform both scaler = StandardScaler() X_train_scaled…
ReadSave this stack to your personal DevRecall — add your own notes, track what you're learning, and share what you know with the community.
Get started — free forever