文件名称：Practical Data Science with R
文件大小：13.52MB
文件格式：PDF
更新时间：2017-07-30 07:29:57
R
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.