Sebastian Raschka • 6/27/2014

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This tutorial provides a practical guide to Python tools for machine learning and data analysis. It covers installing packages via Anaconda, loading and visualizing the Wine dataset, feature scaling, dimensionality reduction with PCA and LDA, and supervised classification using Linear Discriminant Analysis and Stochastic Gradient Descent.

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#Python #Machine Learning #data analysis
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