数据分析师专栏中的机器学习的源代码

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style='color:#111;'> 16.87KB </span>","children":null,"spread":false}],"spread":true},{"title":"贝叶斯_多项式.ipynb <span style='color:#111;'> 265.75KB </span>","children":null,"spread":false}],"spread":true},{"title":"chapter7","children":[{"title":"随机森林案例演示.ipynb <span style='color:#111;'> 392.35KB </span>","children":null,"spread":false},{"title":"决策树01.ipynb <span style='color:#111;'> 24.42KB </span>","children":null,"spread":false},{"title":"tree1.dot <span style='color:#111;'> 6.57KB </span>","children":null,"spread":false},{"title":"bagging.mp4 <span style='color:#111;'> 6.62MB </span>","children":null,"spread":false},{"title":"tree5.dot <span style='color:#111;'> 5.46KB </span>","children":null,"spread":false},{"title":"boost.mp4 <span style='color:#111;'> 7.41MB </span>","children":null,"spread":false},{"title":"tree2.dot <span style='color:#111;'> 3.43KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"随机森林案例演示-checkpoint.ipynb <span style='color:#111;'> 392.35KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"chapter9","children":[{"title":"kmean.mp4 <span style='color:#111;'> 3.31MB </span>","children":null,"spread":false},{"title":"Mall_Customers.csv <span style='color:#111;'> 3.69KB </span>","children":null,"spread":false},{"title":"kmean算法.ipynb <span style='color:#111;'> 473.50KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"kmean算法-checkpoint.ipynb <span style='color:#111;'> 473.50KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"chapter2","children":[{"title":"逻辑回归练习1 .ipynb <span style='color:#111;'> 23.70KB </span>","children":null,"spread":false},{"title":"逻辑回归练习#2.ipynb <span style='color:#111;'> 1.06MB </span>","children":null,"spread":false}],"spread":true},{"title":"chapter8","children":[{"title":"PCA1.mp4 <span style='color:#111;'> 14.51MB 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