| Name | Last modified | Size |
|---|---|---|
| Parent Directory | [DIR] | |
| 1.pandas案例_.mp4 | 2022-February-19 01:56 | 39.08 MiB |
| 10.交叉验证和网格搜索_1_.mp4 | 2022-February-19 01:56 | 25.94 MiB |
| 10.鸢尾花种类预测实现_.mp4 | 2022-February-19 01:56 | 16.1 MiB |
| 11.KNN的优点和缺点_.mp4 | 2022-February-19 01:56 | 16.64 MiB |
| 11.交叉验证和网格搜索的使用_.mp4 | 2022-February-19 01:56 | 16.78 MiB |
| 12.预测facebook签到位置步骤分析_.mp4 | 2022-February-19 01:56 | 20.65 MiB |
| 13.预测facebook签到位置案例实现_.mp4 | 2022-February-19 01:56 | 42.88 MiB |
| 14.线性回归的公式_.mp4 | 2022-February-19 01:56 | 15.43 MiB |
| 15.线性回归的应用_.mp4 | 2022-February-19 01:56 | 20.16 MiB |
| 16.线性回归api初步使用_.mp4 | 2022-February-19 01:56 | 14.56 MiB |
| 17.一个问题：机器学习算法是如何学习的_.mp4 | 2022-February-19 01:56 | 4.21 MiB |
| 18.今日总结_.mp4 | 2022-February-19 01:56 | 16.2 MiB |
| 2.昨日复习_.mp4 | 2022-February-19 01:56 | 18.56 MiB |
| 3.kd树的构造方法_.mp4 | 2022-February-19 01:56 | 20.5 MiB |
| 4.kd树查找最近点的方法_.mp4 | 2022-February-19 01:56 | 23.5 MiB |
| 5.scikit-learn的数据集API介绍_.mp4 | 2022-February-19 01:56 | 21.8 MiB |
| 6.查看数据分布_.mp4 | 2022-February-19 01:56 | 17.51 MiB |
| 7.数据集划分_.mp4 | 2022-February-19 01:56 | 10.93 MiB |
| 8.去量纲化_.mp4 | 2022-February-19 01:56 | 39.6 MiB |
| 9.鸢尾花种类预测步骤分析_.mp4 | 2022-February-19 01:56 | 8.37 MiB |