机器学习必修经典算法与Python实战 - 猎人搜索 轻松搜寻全网资源

• file:06-7-6-7交叉验证.mp4
• file:03-11-3-11Numpy数组统计运算：常用的都在这儿了.mp4
• file:13-1-13-1本章总览.mp4
• file:10-2-10-2贝叶斯方法核心思想和原理.mp4
• file:06-13-6-13评价指标：ROC曲线.mp4
• file:09-6-9-6非线性SVM：核技巧.mp4
• file:09-10-9-10SVM优缺点和适用条件.mp4
• file:05-8-5-8线性逻辑回归代码实现.mp4
• file:03-3-3-3Anaconda命令行操作.mp4
• file:02-4-2-4如何分门别类：监督、无监督、强化学习等.mp4
• file:08-5-8-5梯度下降优化算法.mp4
• file:10-3-10-3朴素贝叶斯分类.mp4
• file:12-5-12-5聚类评估代码实现.mp4
• file:01-1-1课程内容和理念.mp4
• folder:机器学习必修经典算法与Python实战