资料目录：
00.机器学习的代码实践.flv
01.机器学习与数学分析.flv
02.概率论与贝叶斯先验.flv
03.矩阵和线性代数.flv
04.Python基础.flv
05.Python库.flv
06.数据清洗和特征选择.flv
07.回归.flv
08.Logistic回归.flv
09.回归实践.flv
10.决策树和随机森林.flv
11.决策树和随机森林实践.flv
12.提升.flv
13.提升实践.flv
14.SVM.flv
15.SVM实践.flv
16.聚类上.flv
17.聚类下.flv
18.聚类实践.flv
19.EM算法.flv
20.EM算法实践.flv
21.主题模型.flv
22.主题模型实践.flv
23.HMM周末线下课.flv
24.HMM实践.flv
