數(shù)據(jù)科學 IPython 筆記本 翻譯完成

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/)
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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()
和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)