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數(shù)據(jù)科學 IPython 筆記本 翻譯完成

2019-03-27 10:26 作者:絕不原創(chuàng)的飛龍  | 我要投稿

原文:donnemartin/data-science-ipython-notebooks(https://github.com/donnemartin/data-science-ipython-notebooks)

譯者:飛龍(https://github.com/wizardforcel)

協(xié)議:CC BY-NC-SA 4.0(http://creativecommons.org/licenses/by-nc-sa/4.0/)

歡迎任何人參與和完善:一個人可以走的很快,但是一群人卻可以走的更遠。

  • ApacheCN 機器學習交流群 629470233(http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef)

  • ApacheCN 學習資源(http://www.apachecn.org/)

  • 在線閱讀(https://www.gitbook.com/book/wizardforcel/ds-ipynb/details)

  • PDF格式(https://www.gitbook.com/download/pdf/book/wizardforcel/ds-ipynb)

  • EPUB格式(https://www.gitbook.com/download/epub/book/wizardforcel/ds-ipynb)

  • MOBI格式(https://www.gitbook.com/download/mobi/book/wizardforcel/ds-ipynb)

  • 代碼倉庫(https://github.com/apachecn/ds-ipynb-zh)

目錄

  • 數(shù)據(jù)科學 IPython 筆記本(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/README.md)

  • 一、TensorFlow(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/1.md)

  • 二、TensorFlow 練習(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/2.md)

  • 三、Theano(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/3.md)

  • 四、Keras(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/4.md)

  • 五、scikit-learn(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/5.md)

  • 六、SciPy 統(tǒng)計推斷(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/6.md)

  • 七、Pandas(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.md)

    • 7.1 Pandas(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.1.md)

    • 7.2 數(shù)據(jù)整理(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.2.md)

    • 7.3 Pandas 數(shù)據(jù)操作(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.3.md)

    • 7.4 Pandas 對象介紹(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.4.md)

    • 7.5 數(shù)據(jù)索引和選擇(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.5.md)

    • 7.6 Pandas 中的數(shù)據(jù)操作(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.6.md)

    • 7.7 處理缺失數(shù)據(jù)(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.7.md)

    • 7.8 分層索引(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.8.md)

    • 7.9 組合數(shù)據(jù)集:連接和附加(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.9.md)

    • 7.10 組合數(shù)據(jù)集:合并和連接(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.10.md)

    • 7.11 聚合和分組(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.11.md)

    • 7.12 透視表(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.12.md)

    • 7.13 向量化字符串操作(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.13.md)

    • 7.14 處理時間序列(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.14.md)

    • 7.15 高性能 Pandas:eval()query()(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.15.md)

  • 八、Matplotlib(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.md)

    • 8.1 matplotlib(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.1.md)

    • 8.2 Matplotlib 的應用(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.2.md)

    • 8.3 Matplotlib 可視化(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.3.md)

    • 8.4 簡單的折線圖(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.4.md)

    • 8.5 簡單的散點圖(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.5.md)

    • 8.6 可視化誤差(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.6.md)

    • 8.7 密度和等高線圖(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.7.md)

    • 8.8 直方圖,分箱和密度(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.8.md)

    • 8.9 自定義圖例(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.9.md)

    • 8.10 自定義顏色條(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.10.md)

    • 8.11 多個子圖(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.11.md)

    • 8.12 文本和注解(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.12.md)

    • 8.13 自定義刻度(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.13.md)

    • 8.14 自定義 Matplotlib:配置和樣式表(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.14.md)

    • 8.15 Matplotlib 中的三維繪圖(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.15.md)

    • 8.16 地理數(shù)據(jù)和 Basemap(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.16.md)

    • 8.17 使用 Seaborn 的可視化(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.17.md)

  • 九、NumPy(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.md)

    • 9.1 NumPy(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.1.md)

    • 9.2 NumPy 簡介(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.2.md)

    • 9.3 理解 Python 中的數(shù)據(jù)類型(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.3.md)

    • 9.4 NumPy 數(shù)組的基礎(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.4.md)

    • 9.5 NumPy 數(shù)組上的計算:通用函數(shù)(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.5.md)

    • 9.6 聚合:最小、最大和之間的任何東西(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.6.md)

    • 9.7 數(shù)組上的計算:廣播(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.7.md)

    • 9.8 比較,掩碼和布爾邏輯(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.8.md)

    • 9.9 花式索引(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.9.md)

    • 9.10 數(shù)組排序(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.10.md)

    • 9.11 結(jié)構化數(shù)據(jù):NumPy 的結(jié)構化數(shù)組(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.11.md)


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