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 conti…
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 =…
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