本書詳細地介紹了大數據、人工智能等項目中不可或缺的環(huán)節(jié)和內容：數據準備和特征工程。書中的每節(jié)首先以簡明方式介紹了基本知識；然后通過實際案例演示了基本知識的實際應用，并提供了針對性練習項目，將“知識、案例、練習”融為一體；最后以“擴展探究”方式引導讀者進入更深廣的領域。本書既適合作為大學相關專業(yè)的教材，也適合作為大數據、人工智能等領域的開發(fā)人員的參考讀物。
齊偉，自稱老齊，現居蘇州，所著在線教程《零基礎學Python》及《零基礎學Python（第2版）》在業(yè)內引起非常大的反響。愿意和來自各方的朋友討論技術問題，并能提供相關技術服務。
目錄
第1 章 感知數據 ·································.001
1.0 了解數據科學項目 ································001
1.1 文件中的數據 ··································003
1.1.1 CSV文件 ····································003
1.1.2 Excel文件 ···································009
1.1.3 圖像文件 ···································015
1.2 數據庫中的數據 ·································019
1.3 網頁上的數據 ··································029
1.4 來自API 的數據 ·································039
第2 章 數據清理 ··································044
2.0 基本概念 ····································045
2.1 轉化數據類型 ··································046
2.2 處理重復數據 ··································054
2.3 處理缺失數據 ··································057
2.3.1 檢查缺失數據 ·································058
2.3.2 用指定值填補 ·································063
2.3.3 根據規(guī)律填補 ·································069
2.4 處理離群數據 ··································076
第3 章 特征變換 ···································083
3.0 特征的類型 ···································084
3.1 特征數值化 ···································085
3.2 特征二值化 ···································088
3.3 OneHot編碼 ···································093
3.4 數據變換 ····································098
3.5 特征離散化 ···································104
3.5.1 無監(jiān)督離散化 ·································104
3.5.2 有監(jiān)督離散化 ·································110
3.6 數據規(guī)范化 ···································113
第4 章 特征選擇 ···································124
4.0 特征選擇簡述 ··································124
4.1 封裝器法 ····································127
4.1.1 循序特征選擇 ·································127
4.1.2 窮舉特征選擇 ·································135
4.1.3 遞歸特征消除 ·································140
4.2 過濾器法 ····································144
4.3 嵌入法 ·····································149
第5 章 特征抽取 ···································154
5.1 無監(jiān)督特征抽取··································154
5.1.1 主成分分析 ··································154
5.1.2 因子分析 ···································161
5.2 有監(jiān)督特征抽取 ·································167
附錄A Jupyter簡介 ·································173
附錄B NumPy簡介 ··································176
附錄C Pandas簡介 ··································185
附錄D Matplotlib簡介 ································194
后記 ········································199
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