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Title: GitHub - gs-ren/MachineLearningCourse: 机器学习精简入门教程 · GitHub

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X Title: GitHub - gs-ren/MachineLearningCourse: 机器学习精简入门教程

Description: 机器学习精简入门教程. Contribute to gs-ren/MachineLearningCourse development by creating an account on GitHub.

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https://github.com/gs-ren/MachineLearningCourse#机器学习精简入门教程
机器学习教程 一-不懂这些线性代数知识 别说你是搞机器学习的http://www.shareditor.com/blogshow/?blogId=1
机器学习教程 二-安装octave绘制3D函数图像http://www.shareditor.com/blogshow/?blogId=28
机器学习教程 三-用scikit-learn求解一元线性回归问题http://www.shareditor.com/blogshow/?blogId=53
机器学习教程 四-用scikit-learn求解多元线性回归问题http://www.shareditor.com/blogshow/?blogId=54
机器学习教程 五-用matplotlib绘制精美的图表http://www.shareditor.com/blogshow/?blogId=55
机器学习教程 六-用scikit-learn求解多项式回归问题http://www.shareditor.com/blogshow/?blogId=56
机器学习教程 七-用随机梯度下降法(SGD)做线性拟合http://www.shareditor.com/blogshow/?blogId=57
机器学习教程 八-用scikit-learn做特征提取http://www.shareditor.com/blogshow/?blogId=58
机器学习教程 九-二元分类效果的评估方法http://www.shareditor.com/blogshow/?blogId=59
机器学习教程 十-用scikit-learn的网格搜索快速找到最优模型参数http://www.shareditor.com/blogshow/?blogId=60
机器学习教程 十一-用scikit-learn做聚类分析http://www.shareditor.com/blogshow/?blogId=61
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