数据预处理资料，有代码，有原理介绍

[{"title":"（ 31 个子文件 34.44MB ） 数据预处理资料，有代码，有原理介绍","children":[{"title":"pandas——相关系数函数corr().pdf <span style='color:#111;'> 562.68KB </span>","children":null,"spread":false},{"title":"T泰坦尼克-全员存活经典分析.pdf <span style='color:#111;'> 1.15MB </span>","children":null,"spread":false},{"title":"常见的数据预处理--python篇数据集划分、归一化.pdf <span style='color:#111;'> 2.69MB </span>","children":null,"spread":false},{"title":"taitanic对pandas进行数据预处理的实例讲解.pdf <span style='color:#111;'> 1.87MB </span>","children":null,"spread":false},{"title":"python数据预处理方式 数据降维.pdf <span style='color:#111;'> 605.19KB </span>","children":null,"spread":false},{"title":"pandas进行数据清理的学习笔记.pdf <span style='color:#111;'> 2.58MB </span>","children":null,"spread":false},{"title":"pandas DataFrame 单个数据修改（cell）.pdf <span style='color:#111;'> 467.76KB </span>","children":null,"spread":false},{"title":"SVD.pdf <span style='color:#111;'> 791.14KB </span>","children":null,"spread":false},{"title":"关于数据的异常检测，看这一篇就够了.pdf <span style='color:#111;'> 1.70MB </span>","children":null,"spread":false},{"title":"干货：用Python进行数据清洗，这7种方法你一定要掌握.pdf <span style='color:#111;'> 1.50MB </span>","children":null,"spread":false},{"title":"PandasPython数据预处理之清洗.pdf <span style='color:#111;'> 613.78KB </span>","children":null,"spread":false},{"title":"S Python sklearn实例：预测波士顿房价.pdf <span style='color:#111;'> 974.93KB </span>","children":null,"spread":false},{"title":"2.4.2数据预处理 降维（归约） sklearn.pdf <span style='color:#111;'> 1.55MB </span>","children":null,"spread":false},{"title":"Python机器学习-数据预处理技术（标准化处理、归一化、二值化、独热编码、标记编码）.pdf <span style='color:#111;'> 373.76KB </span>","children":null,"spread":false},{"title":"python实现数据预处理.pdf <span style='color:#111;'> 746.18KB </span>","children":null,"spread":false},{"title":"Python数据预处理：彻底理解标准化和归一化.pdf <span style='color:#111;'> 920.77KB </span>","children":null,"spread":false},{"title":"主成分分析（PCA）原理总结.pdf <span style='color:#111;'> 606.08KB </span>","children":null,"spread":false},{"title":"pandas 之 groupby.pdf <span style='color:#111;'> 1.01MB </span>","children":null,"spread":false},{"title":"Python机器学习 -- 数据预处理（理论）.pdf <span style='color:#111;'> 1.03MB </span>","children":null,"spread":false},{"title":"scikit_learn数据预处理_u010472823的博客-CSDN博客.pdf <span style='color:#111;'> 570.66KB </span>","children":null,"spread":false},{"title":"TKaggle入门之泰坦尼克号生还率预测.pdf <span style='color:#111;'> 592.89KB </span>","children":null,"spread":false},{"title":"T用Python预测泰坦尼克生存情况-附数据集.pdf <span style='color:#111;'> 1.13MB </span>","children":null,"spread":false},{"title":"Kaggle金牌得主的Python数据挖掘框架，机器学习基本流程都讲清楚了.pdf <span style='color:#111;'> 4.38MB </span>","children":null,"spread":false},{"title":"titanic.xlsx文件，按照教材示例步骤，完成数据清洗.pdf <span style='color:#111;'> 1.03MB </span>","children":null,"spread":false},{"title":"大数据预处理技术总结.pdf <span style='color:#111;'> 553.73KB </span>","children":null,"spread":false},{"title":"线性判别分析LDA原理总结.pdf <span style='color:#111;'> 793.73KB </span>","children":null,"spread":false},{"title":"机器学习-特征工程之数值处理（二）_微积冰-CSDN博客.pdf <span style='color:#111;'> 5.50MB </span>","children":null,"spread":false},{"title":"机器学习-特征工程初识（一）_微积冰-CSDN博客.pdf <span style='color:#111;'> 787.48KB </span>","children":null,"spread":false},{"title":"使用 Python pandas 包进行数据清洗小结，分析电话号码的合法性.pdf <span style='color:#111;'> 384.46KB </span>","children":null,"spread":false},{"title":"Pandas 数据处理,数据清洗详解.pdf <span style='color:#111;'> 1.10MB </span>","children":null,"spread":false},{"title":"pandas数据选取：df[] df.loc[] df.iloc[] df.ix[] df.at[] df.iat[].pdf <span style='color:#111;'> 843.37KB </span>","children":null,"spread":false}],"spread":true}]