Practical Data Science with R - 源码 - 源码 - 免费下载

Practical Data Science with R

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资源说明：Practical Data Science with R has more of a data science spin than machine learning. Part 1 is introductory looking at loading data into R. Part 2 starts off with model evaluation and works through models in increasing complexity through k-NN, Naive Bayes, Linear Regression, clustering, association rules and SVM. Part 3 works through advanced issues like self-documenting scripts and presenting results.

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