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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