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MACHINE LEARNING

Feature Engineering

Interactive feature engineering pipeline: column profiling, one-hot and label encoding, min-max and z-score normalization, log transforms, interaction features, and PCA dimensionality reduction with scree plots.

ProfileEncodeNormalizePCA
OPEN INTERACTIVE LAB ↗

What you'll explore

  • ✓Feature engineering
  • ✓Pca visualization
  • ✓One-hot encoding
  • ✓Feature normalization
  • ✓Ml preprocessing
  • ✓Dimensionality reduction

About this lab

Interactive feature engineering pipeline: column profiling, one-hot and label encoding, min-max and z-score normalization, log transforms, interaction features, and PCA dimensionality reduction with scree plots. This simulation runs entirely in your browser — no installation, no account required, no data uploaded.

Part of the Machine Learning Labs track — 5 labs covering the full curriculum.

PLATFORM FEATURES
✓ Runs 100% in browser — no server, no installs
✓ Adjustable parameters with real-time output
✓ Privacy-first: zero data collection or uploads
✓ Blockchain-verifiable experiment logs on Polygon
✓ Free to use — open to everyone