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数据科学 IPython 笔记本 翻译完成

2019-03-27 10:26 作者:绝不原创的飞龙  | 我要投稿

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

译者:飞龙(https://github.com/wizardforcel)

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

欢迎任何人参与和完善:一个人可以走的很快,但是一群人却可以走的更远。

  • ApacheCN 机器学习交流群 629470233(http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef)

  • ApacheCN 学习资源(http://www.apachecn.org/)

  • 在线阅读(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)

  • 代码仓库(https://github.com/apachecn/ds-ipynb-zh)

目录

  • 数据科学 IPython 笔记本(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 练习(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 统计推断(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 数据整理(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.2.md)

    • 7.3 Pandas 数据操作(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.3.md)

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

    • 7.5 数据索引和选择(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.5.md)

    • 7.6 Pandas 中的数据操作(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.6.md)

    • 7.7 处理缺失数据(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.7.md)

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

    • 7.9 组合数据集:连接和附加(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.9.md)

    • 7.10 组合数据集:合并和连接(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.10.md)

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

    • 7.12 透视表(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 处理时间序列(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 的应用(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.2.md)

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

    • 8.4 简单的折线图(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.4.md)

    • 8.5 简单的散点图(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.5.md)

    • 8.6 可视化误差(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.6.md)

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

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

    • 8.9 自定义图例(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.9.md)

    • 8.10 自定义颜色条(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.10.md)

    • 8.11 多个子图(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 自定义刻度(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.13.md)

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

    • 8.15 Matplotlib 中的三维绘图(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.15.md)

    • 8.16 地理数据和 Basemap(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.16.md)

    • 8.17 使用 Seaborn 的可视化(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 简介(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.2.md)

    • 9.3 理解 Python 中的数据类型(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.3.md)

    • 9.4 NumPy 数组的基础(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.4.md)

    • 9.5 NumPy 数组上的计算:通用函数(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.5.md)

    • 9.6 聚合:最小、最大和之间的任何东西(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.6.md)

    • 9.7 数组上的计算:广播(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.7.md)

    • 9.8 比较,掩码和布尔逻辑(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 数组排序(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.10.md)

    • 9.11 结构化数据:NumPy 的结构化数组(https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.11.md)


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