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Data Science Academy · Lesson

The Curse of Too Many Features

Why high dimensions hurt models.

More Columns, More Trouble

Adding features feels helpful, but past a point each new column makes your data sparser and your model harder to train. 😬

The Curse of Dimensionality

This squeeze is the curse of dimensionality: as dimensions grow, the space balloons and your points scatter far apart.

All lessons in this course

  1. The Curse of Too Many Features
  2. How PCA Finds Components
  3. Scale First, Then Fit PCA
  4. Choose Components With Scree Plots
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