Showing 1 open source project for "pca knn"

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    GSMLBook

    GSMLBook

    Recipes for basic machine learning algorithms using sklearn in jupyter

    ... descent); classification and regression trees; random forests;  neural networks; probabilistic methods (KNN, naive Bayes', QDA, LDA); dimensionality reduction with PCA; support vector machines; and clustering with K-Means, hierarchical, and DBScan. Appendices provide a review of probability and linear algebra. While some mathematical foundation is provided, it is not essential for understanding the implementations. The target audience is advanced community college and university students.
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