掃一掃
關注中圖網
官方微博
本類五星書更多>
-
>
全國計算機等級考試最新真考題庫模擬考場及詳解·二級MSOffice高級應用
-
>
決戰行測5000題(言語理解與表達)
-
>
軟件性能測試.分析與調優實踐之路
-
>
第一行代碼Android
-
>
JAVA持續交付
-
>
EXCEL最強教科書(完全版)(全彩印刷)
-
>
深度學習
數據準備和特征工程:數據工程師必知必會技能 版權信息
- ISBN：9787121382635
- 條形碼：9787121382635 ; 978-7-121-38263-5
- 裝幀：平裝-膠訂
- 冊數：暫無
- 重量：暫無
- 所屬分類：>>
數據準備和特征工程:數據工程師必知必會技能 本書特色
畫龍點睛的批注，讓學習更加簡單案例式教學，面向工程實踐滲透技術發展，基礎與前沿結合提供在線實驗平臺，學練融合在專屬公眾號與作者交互，教學相長配套視頻和在線課程，邊看邊學
數據準備和特征工程:數據工程師必知必會技能 內容簡介
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節和內容：數據準備和特征工程。書中的每節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；*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的教材，也適合作為大數據、人工智能等領域的開發人員的參考讀物。
數據準備和特征工程:數據工程師必知必會技能 目錄
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 無監督離散化 ·································104
3.5.2 有監督離散化 ·································110
3.6 數據規范化 ···································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
展開全部
數據準備和特征工程:數據工程師必知必會技能 作者簡介
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。
書友推薦
- >
二體千字文
- >
唐代進士錄
- >
朝聞道
- >
羅庸西南聯大授課錄
- >
有舍有得是人生
- >
經典常談
- >
苦雨齋序跋文-周作人自編集
- >
我與地壇
本類暢銷
