新增了五個(gè)教程：

• Python 和 Jupyter 機(jī)器學(xué)習(xí)入門(mén)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/begin-ds-py-jupyter/README.md

• 零、前言：github.com/apachecn/apachecn-ds-zh/blob/master/docs/begin-ds-py-jupyter/0.md

• 一、Jupyter 基礎(chǔ)知識(shí)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/begin-ds-py-jupyter/1.md

• 二、數(shù)據(jù)清理和高級(jí)機(jī)器學(xué)習(xí)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/begin-ds-py-jupyter/2.md

• 三、Web 爬取和交互式可視化：github.com/apachecn/apachecn-ds-zh/blob/master/docs/begin-ds-py-jupyter/3.md

• Python 數(shù)據(jù)科學(xué)和機(jī)器學(xué)習(xí)實(shí)踐指南：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/README.md

• 零、前言：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/00.md

• 一、入門(mén)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/01.md

• 二、統(tǒng)計(jì)和概率回顧和 Python 實(shí)踐：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/02.md

• 三、Matplotlib 和高級(jí)概率概念：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/03.md

• 四、預(yù)測(cè)模型：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/04.md

• 五、Python 機(jī)器學(xué)習(xí)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/05.md

• 六、推薦系統(tǒng)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/06.md

• 七、更多數(shù)據(jù)挖掘和機(jī)器學(xué)習(xí)技術(shù)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/07.md

• 八、處理真實(shí)數(shù)據(jù)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/08.md

• 九、Apache Spark-大數(shù)據(jù)機(jī)器學(xué)習(xí)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/09.md

• 十、測(cè)試與實(shí)驗(yàn)設(shè)計(jì)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/handson-ds-py-ml/10.md

• 精通 Python 數(shù)據(jù)科學(xué)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/README.md

• 零、前言：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/00.md

• 一、原始數(shù)據(jù)入門(mén)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/01.md

• 二、推斷統(tǒng)計(jì)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/02.md

• 三、大海撈針：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/03.md

• 四、通過(guò)高級(jí)可視化感知數(shù)據(jù)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/04.md

• 五、發(fā)現(xiàn)機(jī)器學(xué)習(xí)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/05.md

• 六、使用線性回歸執(zhí)行預(yù)測(cè)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/06.md

• 七、估計(jì)事件的可能性：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/07.md

• 八、使用協(xié)同過(guò)濾生成建議：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/08.md

• 九、使用集成模型擴(kuò)展邊界：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/09.md

• 十、通過(guò) K 均值聚類(lèi)應(yīng)用細(xì)分：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/10.md

• 十一、通過(guò)文本挖掘分析非結(jié)構(gòu)化數(shù)據(jù)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/11.md

• 十二、在大數(shù)據(jù)世界中利用 Python：github.com/apachecn/apachecn-ds-zh/blob/master/docs/master-py-ds/12.md

• Python 數(shù)據(jù)科學(xué)本質(zhì)論：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/README.md

• 零、前言：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/0.md

• 一、第一步：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/1.md

• 二、數(shù)據(jù)整理：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/2.md

• 三、數(shù)據(jù)管道：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/3.md

• 四、機(jī)器學(xué)習(xí)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/4.md

• 五、可視化，見(jiàn)解和結(jié)果：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/5.md

• 六、社交網(wǎng)絡(luò)分析：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/6.md

• 七、超越基礎(chǔ)的深度學(xué)習(xí)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/7.md

• 八、大數(shù)據(jù)和 Spark：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/8.md

• 九、加強(qiáng)您的 Python 基礎(chǔ)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/py-ds-essentials/9.md

• 數(shù)據(jù)科學(xué)思想：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/README.md

• 零、前言：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/00.md

• 一、開(kāi)發(fā)人員對(duì)數(shù)據(jù)科學(xué)的看法：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/01.md

• 二、使用 Jupyter 筆記本和 PixieDust 的大規(guī)模數(shù)據(jù)科學(xué)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/02.md

• 三、PixieApp 深入了解：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/03.md

• 四、使用 PixieGateway 服務(wù)器將 PixieApp 部署到 Web：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/04.md

• 五、最佳實(shí)踐和高級(jí) PixieDust 概念：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/05.md

• 六、TensorFlow 圖像識(shí)別：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/06.md

• 七、大數(shù)據(jù)和 Twitter 情感分析：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/07.md

• 八、金融時(shí)間序列分析和預(yù)測(cè)：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/08.md

• 九、使用圖的美國(guó)國(guó)內(nèi)航班數(shù)據(jù)分析：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/09.md

• 十、最終思想：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/10.md

• 十一、附錄 A：PixieApp 快速參考：github.com/apachecn/apachecn-ds-zh/blob/master/docs/thoughtful-ds/11.md

下載

Docker

docker pull apachecn0/apachecn-cv-zh docker run -tid -p <port>:80 apachecn0/apachecn-cv-zh # 訪問(wèn) http://localhost:{port}

PYPI

pip install apachecn-cv-zh apachecn-cv-zh <port> # 訪問(wèn) http://localhost:{port}

NPM

npm install -g apachecn-cv-zh apachecn-cv-zh <port> # 訪問(wèn) http://localhost:{port}

貢獻(xiàn)指南

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