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Featured Articles on Feature Engineering

Understanding Feature Types

Learn the difference between categorical, numerical, ordinal, and binary features and how to handle each.

By Jane Doe • 2 days ago
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Feature Scaling Techniques

A deep dive into normalization, standardization, and robust scaling for improving model convergence.

By John Smith • 5 days ago
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Encoding Categorical Variables

Explore one‑hot, label, target, and frequency encoding with practical code examples.

By Emily Zhang • 1 week ago
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Feature Selection Strategies

Statistical tests, recursive feature elimination, and embedded methods to prune irrelevant features.

By Mike Lee • 9 days ago
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Community Discussion

Alice3 hours ago
Has anyone tried using PCA on high‑cardinality categorical data? I'm seeing mixed results.
Bob2 hours ago
I usually apply target encoding before dimensionality reduction. It seems to preserve more predictive power.