GitHub - zzy1120716/machine-learning-in-action: 《机器学习实战》笔记&代码

《机器学习实战》

安装Anaconda，在Anaconda Prompt中运行matplotlib相关代码 http://docs.anaconda.com/anaconda/install/windows/

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
ch01-machine-learning-basics		ch01-machine-learning-basics
ch02-classifying-with-k-nearest-neighbors		ch02-classifying-with-k-nearest-neighbors
ch03-splitting-datasets-one-feature-at-a-time-decision-trees		ch03-splitting-datasets-one-feature-at-a-time-decision-trees
ch04-classifying-with-probability-distributions-naive-bayes		ch04-classifying-with-probability-distributions-naive-bayes
ch05-logistic-regression		ch05-logistic-regression
ch06-support-vector-machines		ch06-support-vector-machines
ch07-improving-classification-with-a-meta-algorithm-adaboost		ch07-improving-classification-with-a-meta-algorithm-adaboost
ch08-predicting-numeric-values-regression		ch08-predicting-numeric-values-regression
ch09-tree-based-regression		ch09-tree-based-regression
ch10-grouping-unlabeled-items-using-k-means-clustering		ch10-grouping-unlabeled-items-using-k-means-clustering
ch11-association-analysis-with-the-apriori-algorithm		ch11-association-analysis-with-the-apriori-algorithm
ch12-efficiently-finding-frequent-itemsets-with-fp-growth		ch12-efficiently-finding-frequent-itemsets-with-fp-growth
ch13-using-principal-components-analysis-to-simplify-our-data		ch13-using-principal-components-analysis-to-simplify-our-data
ch14-simplifying-data-with-the-singular-value-decomposition		ch14-simplifying-data-with-the-singular-value-decomposition
ch15-big-data-and-mapreduce		ch15-big-data-and-mapreduce
.gitignore		.gitignore
README.md		README.md

zzy1120716/machine-learning-in-action