Machine-Learning-Algorithms-Second-Edition:机器学习算法第二版,由Packt发行

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机器学习算法第二版 这是Packt发布的《 的代码库。 流行于数据科学和机器学习的算法 这本书是关于什么的? 机器学习以其强大而快速的大型数据集预测而获得了极大的普及。 但是,强大功能背后的真正力量是涉及大量统计分析的复杂算法,该算法搅动大型数据集并产生实质性见解。 本书涵盖以下激动人心的功能: 研究特征选择和特征工程过程 评估性能和误差权衡以进行线性回归 建立数据模型并使用不同类型的算法了解其工作方式 学习调整支持向量机(SVM)的参数 探索自然语言处理(NLP)和推荐系统的概念 如果您觉得这本书适合您,请立即获取! 说明和导航 所有代码都组织在文件夹中。 例如,Chapter02。 该代码将如下所示: from sklearn.svm import SVC from sklearn.model_selection import cross_val_score svc =

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