23.69 MB
9.波士顿房价预测_.mp42023-01-01
11.36 MB
8.波士顿房价预测步骤分析_.mp42023-01-01
8.22 MB
7.线性回归api再介绍_.mp42023-01-01
27.45 MB
6.梯度下降法_.mp42023-01-01
42.43 MB
5.线性回归的损失和优化_.mp42023-01-01
35.47 MB
4.正规方程_.mp42023-01-01
20.95 MB
3.机器学习算法是如何学习的_.mp42023-01-01
12.49 MB
23.今日总结_.mp42023-01-01
23.92 MB
22.ROC曲线的绘制_.mp42023-01-01
21.60 MB
21.分类评估方法_.mp42023-01-01
27.75 MB
20.癌症分类预测实现_.mp42023-01-01
27.74 MB
2.数学：求导_.mp42023-01-01
7.74 MB
19.癌症分类预测步骤分析_.mp42023-01-01
4.51 MB
18.逻辑回归api介绍_.mp42023-01-01
12.35 MB
17.逻辑回归的损失以及优化_.mp42023-01-01
24.06 MB
16.逻辑回归的原理_.mp42023-01-01
6.48 MB
15.逻辑回归简介_.mp42023-01-01
11.29 MB
14.模型的保存和加载_.mp42023-01-01
9.86 MB
13.岭回归_.mp42023-01-01
15.46 MB
12.正则化线性模型_.mp42023-01-01
20.36 MB
11.正则化_.mp42023-01-01
17.39 MB
10.过拟合和欠拟合_.mp42023-01-01
11.17 MB
1.昨日复习_.mp42023-01-01