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file:09-7-9-7SVM核函数.mp4
file:15-5-15-5如何深入研究机器学习【优质资源‖关注：CunWorkNotes 解锁】.mp4
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file:13-5-13-5降维任务代码实现.mp4
file:02-5-2-5机器学习的七大常见误区和局限.mp4
file:03-8-3-8Numpy数组基础索引：索引和切片.mp4
file:11-1-11-1本章总览.mp4
file:02-4-2-4如何分门别类：监督、无监督、强化学习等.mp4
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file:11-6-11-6串行策略：Boosting.mp4
file:08-7-8-7梯度消失和梯度爆炸.mp4
file:09-9-9-9SVM回归任务代码实现.mp4
file:12-1-12-1本章总览.mp4
file:05-9-5-9多分类策略【手动整理‖免费开放：cunlove.cn】.mp4
file:03-6-3-6Numpy基础：安装与性能对比.mp4
file:04-8-4-8KNN回归任务代码实现.mp4
file:03-10-3-10Numpy数组矩阵运算：一元运算、二元运算与矩阵运算.mp4
file:12-2-12-2聚类算法核心思想和原理.mp4
file:07-5-7-5基尼系数.mp4
file:05-8-5-8线性逻辑回归代码实现.mp4
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file:05-6-5-6多项式回归代码实现.mp4
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file:10-2-10-2贝叶斯方法核心思想和原理【耗时整理‖不易且全免费：cunlove.cn】.mp4
file:08-2-8-2神经网络核心思想和原理.mp4
file:09-4-9-4SVM软间隔.mp4
file:05-3-5-3逻辑回归核心思想和原理【花费时间‖免费开放：cunlove.cn】.mp4
folder:梗直哥瞿炜-机器学习必修课：经典算法与Python实战
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