Sebastian Raschka • 7/11/2014

About Feature Scaling and Normalization

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This article explains the concepts of feature scaling and normalization, crucial for many machine learning algorithms. It details standardization (Z-score) and Min-Max scaling, discusses when to use each method, and provides practical implementation examples using Python's scikit-learn library. It also explores the impact of scaling on algorithms like PCA and K-Nearest Neighbors.

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#Machine Learning #pca #Scikit Learn
About Feature Scaling and Normalization

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