Feature Selection and Dimensionality Reduction

Exploring feature selection and dimensionality reduction techniques in Kaggle’s Don’t Overfit II competition

Tara (Boyle) Hunter
Towards Data Science
5 min readMar 25, 2019

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Photo by rawpixel on Unsplash

According to wikipedia, “feature selection is the process of selecting a subset of relevant features for use in model construction” or in other words, the selection of the most important features.

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