Python for Everybody: My Learning ResourcesThis repository documents my personal learning journey inspired by the Python for Everybody resources created by Professor Charles Severance, University of Michigan.OverviewThis repository contains:Personal notes: Summaries and insights from the courses I completed...
Python-for-everybody-Coursera This repo consists of assignments of Coursera's "Python for everybody" specialization course offered by Michigan University , taught by Dr.Chuck Severance and codes of "Python for Pentesters" offered by Udemy. Banner grabbing md5 Hash Sniffinf using ScapyAbout...
在线课程:网易云课堂上的机器学习实战课程,Coursera上的人工智能专项课程。 5. 网络爬虫与数据挖掘 学习内容:使用Scrapy、BeautifulSoup等库进行网络爬虫开发,掌握数据挖掘与清洗技术。 推荐资源: 书籍:《Python网络爬虫开发实战》、《Python数据清洗实战》等。 在线课程:慕课网上的网络爬虫实战课程,GitHub上的开源爬虫项目。
This is the first course of a two-course sequel. The second one is Introduction to Computational Thinking andData Science. This python course discusses every topic because this course is open for all background courses. Just like the other beginner-level courses, it gives the students a basic ...
GitHub项目:https:///mstampfer/Coursera-Stanford-ML-Python 第1章 监督学习 监督学习是指在有标记的 样本(labeled samples)上建立机器学习的模型。 无监督学习算法就会以最合理的方式将数据集分 成确定数量的组别。 建立书中的各种模型时,将使用许多Python程序包,像NumPy、SciPy、scikit-learn、 matplotlib等。
com/video/BV1m341177Wk/如果你是一个beginner，一定不要错过多密歇大学根提供的Python for Everybody的...
网址：https://www.shiyanlou.com/大学课程类Coursera- Python for Everybody特点：由密歇根大学推出，为...
在线课程:网易云课堂上的机器学习实战课程,Coursera上的人工智能专项课程。 5. 网络爬虫与数据挖掘 学习内容:使用Scrapy、BeautifulSoup等库进行网络爬虫开发,掌握数据挖掘与清洗技术。 推荐资源: 书籍:《Python网络爬虫开发实战》、《Python数据清洗实战》等。
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吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现. Contribute to liugy111/python-machine-learning development by creating an account on GitHub.