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Vay-keen/Machine-learning-learning-notes is a open source project on GitHub: 周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
This page provides real-time analytics for Vay-keen/Machine-learning-learning-notes, including star history, commit activity, pull request and issue trends, contributor statistics, geographic distribution, and code change frequency. Data is sourced from GitHub events via GH Archive and updated in near real-time.
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
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| Forks | 1,869 |
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| Language | - |
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The growth trend and the specific number of stars since the repository was established.
Stargazers, Issue creators, and Pull Request creators' geographical distribution around the world (analyzed with the public GitHub information).
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Company information about Stargazers, Issue creators, and Pull Request creators (analyzed with the public GitHub information).
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The trend of the total number of commits/pushes per month in a repository since it was created.
* Note: A push action can include multiple commit actions.
The bars show the additions or deletions of code in Pull Requests monthly.
The line chart demonstrates the total lines of code in Pull Requests (additions + deletions).
The Heat Maps below describe the number of commit events that occur at a particular point of time.
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We divide the size of Pull Request into six intervals, from xs to xxl (based on the changes of code lines). Learn more about PR size.
The time of a Pull Request from submitting to merging.
p25/p75: 25%/75% Pull Requests are merged within X minute/hour/day.
e.g. p25: 1h means 25% Pull Requests are merged within 1 hour.
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The time of an issue from open to first-responded (exclude bots).
p25/p75: 25%/75% issues are responded within X minute/hour/day.
e.g. p25: 1h means 25% issues are responded within 1 hour.
Monthly opened/closed issues and the historical totals.
Check the activity of contributors in the repository last month, including push and commit events, issue open/close/comment events, code review comments/PRs/submits.