17.59 MB
36.9gt多样化.mp42022-01-15
17.42 MB
36.8Blending.mp42022-01-15
26.02 MB
36.7集成方法（二）.mp42022-01-15
28.04 MB
36.6集成方法（一）.mp42022-01-15
26.40 MB
36.5模型参数的介绍.mp42022-01-15
36.04 MB
36.4在Scikit-Learn里面如何用随机森林做预测（二）.mp42022-01-15
35.57 MB
36.3在Scikit-Learn里面如何用随机森林做预测（一）.mp42022-01-15
29.72 MB
36.2随机森林.mp42022-01-15
16.65 MB
36.1决策树.mp42022-01-15
30.04 MB
36.15Boosting方法（四）.mp42022-01-15
35.52 MB
36.14Boosting方法（三）.mp42022-01-15
17.26 MB
36.13Boosting方法（二）.mp42022-01-15
31.61 MB
36.12Boosting方法（一）.mp42022-01-15
29.93 MB
36.11Bagging与决策树（二）.mp42022-01-15
25.40 MB
36.10Bagging与决策树（一）.mp42022-01-15