The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Python-Machine-Learning-Cookbook-Second-Edition. In case there's an update to the code, it will be updated on the existing GitHub repository. We also have other code bundles from our rich catalog ...
The "Python Machine Learning" book code repository and info resource - GitHub - ryanlr/python-machine-learning-book: The "Python Machine Learning" book code repository and info resource
https://github.com/rasbt/python-machine-learning-bookand https://github.com/rasbt/python-machine-learning-book-2nd-edition Python Machine Learning, 3rd Ed. to be published December 12th, 2019 Paperback: 770 pages Publisher: Packt Publishing ...
為Azure Machine Learning 中的模型建立及探索負責任 AI 儀表板。 - Training 使用Python SDK v2 為 Azure Machine Learning 中的模型建立及探索負責任 AI 儀表板。 認證 Microsoft Certified: Azure 資料科學家助理證書 - Certifications 使用Python、Azure Machine Learning 和 MLflow 來管理資料擷取和準...
https://github.com/Akuli/python-tutorial Python Bibliotheca http://openbookproject.net/pybiblio/ Python Cookbook – David Beazley and Brian Jones (HTML) https://www.oreilly.com/library/view/python-cookbook-3rd/9781449357337/ Python Data Science Handbook – Jake VanderPlas (HTML, Jupyter Notebooks...
Large Scale Machine Learning with Python , 2016-08-04, 439 pages, pdf, epub Python Data Analysis Cookbook , 2016-08-04, 403 pages, pdf, epub Monitoring ElasticSearch , 2016-08-04, 117 pages, pdf, epub Expert Python Programming, 2nd Edition ...
python入门推荐github上的python100天项目吧,主要是前半部分比较通用,有点基础上手比较快(https://github.com/jackfrued/Python-100-Days)。后面要学高级一些的用法可能就要看类似流畅的python、python cookbook这样的。一般可能学完基础的就看具体要用什么再具体学了吧。(其实很想直接推荐官方文档orz) ...
《Natural Language Processing with Python》,以介绍NLTK里的功能用法为主,同时附带一些Python知识,同时国内陈涛同学友情翻译了一个中文版,这里可以看到:推荐《用Python进行自然语言处理》中文翻译-NLTK配套书;另外一本是《Python Text Processing with NLTK 2.0 Cookbook》,这本书要深入一些,会涉及到NLTK的代码结构,...
请参见以下截图了解最终结果: 关于作者:Ivan Idris,曾是Java和数据库应用开发者,后专注于Python和数据分析领域,致力于编写干净、可测试的代码。他还是《Python Machine Learning By Example》《NumPy Cookbook》等书的作者,在工程实践和书籍撰写方面都非常有经验。
示例代码:https://github.com/lotapp/BaseCode/tree/master/python/5.concurrent/Thread 终于说道线程了,心酸啊,进程还有点东西下次接着聊,这周4天外出,所以注定发文少了+_+ 用过Java或者Net的重点都在线程这块,Python的重点其实在上篇,但线程自有其独到之处～比如资源共享(更轻量级) ...