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Title: GitHub - xmlorange/ML_class: 学堂在线《机器学习》实验课by张敏老师

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Description: 学堂在线《机器学习》实验课by张敏老师. Contribute to xmlorange/ML_class development by creating an account on GitHub.

Open Graph Description: 学堂在线《机器学习》实验课by张敏老师. Contribute to xmlorange/ML_class development by creating an account on GitHub.

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AAAI 会议论文聚类分析https://patch-diff.githubusercontent.com/xmlorange/ML_class/tree/main/AAAI%20%E4%BC%9A%E8%AE%AE%E8%AE%BA%E6%96%87%E8%81%9A%E7%B1%BB%E5%88%86%E6%9E%90
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基于K-近邻的车牌号识别https://patch-diff.githubusercontent.com/xmlorange/ML_class/tree/main/%E5%9F%BA%E4%BA%8EK-%E8%BF%91%E9%82%BB%E7%9A%84%E8%BD%A6%E7%89%8C%E5%8F%B7%E8%AF%86%E5%88%AB
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基于决策树的英雄联盟游戏胜负预测https://patch-diff.githubusercontent.com/xmlorange/ML_class/tree/main/%E5%9F%BA%E4%BA%8E%E5%86%B3%E7%AD%96%E6%A0%91%E7%9A%84%E8%8B%B1%E9%9B%84%E8%81%94%E7%9B%9F%E6%B8%B8%E6%88%8F%E8%83%9C%E8%B4%9F%E9%A2%84%E6%B5%8B
基于决策树的英雄联盟游戏胜负预测https://patch-diff.githubusercontent.com/xmlorange/ML_class/tree/main/%E5%9F%BA%E4%BA%8E%E5%86%B3%E7%AD%96%E6%A0%91%E7%9A%84%E8%8B%B1%E9%9B%84%E8%81%94%E7%9B%9F%E6%B8%B8%E6%88%8F%E8%83%9C%E8%B4%9F%E9%A2%84%E6%B5%8B
基于回归分析的大学综合得分预测https://patch-diff.githubusercontent.com/xmlorange/ML_class/tree/main/%E5%9F%BA%E4%BA%8E%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%90%E7%9A%84%E5%A4%A7%E5%AD%A6%E7%BB%BC%E5%90%88%E5%BE%97%E5%88%86%E9%A2%84%E6%B5%8B
基于回归分析的大学综合得分预测https://patch-diff.githubusercontent.com/xmlorange/ML_class/tree/main/%E5%9F%BA%E4%BA%8E%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%90%E7%9A%84%E5%A4%A7%E5%AD%A6%E7%BB%BC%E5%90%88%E5%BE%97%E5%88%86%E9%A2%84%E6%B5%8B
基于集成学习的 Amazon 用户评论质量预测https://patch-diff.githubusercontent.com/xmlorange/ML_class/tree/main/%E5%9F%BA%E4%BA%8E%E9%9B%86%E6%88%90%E5%AD%A6%E4%B9%A0%E7%9A%84%20Amazon%20%E7%94%A8%E6%88%B7%E8%AF%84%E8%AE%BA%E8%B4%A8%E9%87%8F%E9%A2%84%E6%B5%8B
基于集成学习的 Amazon 用户评论质量预测https://patch-diff.githubusercontent.com/xmlorange/ML_class/tree/main/%E5%9F%BA%E4%BA%8E%E9%9B%86%E6%88%90%E5%AD%A6%E4%B9%A0%E7%9A%84%20Amazon%20%E7%94%A8%E6%88%B7%E8%AF%84%E8%AE%BA%E8%B4%A8%E9%87%8F%E9%A2%84%E6%B5%8B
某闯关类手游用户流失预测https://patch-diff.githubusercontent.com/xmlorange/ML_class/tree/main/%E6%9F%90%E9%97%AF%E5%85%B3%E7%B1%BB%E6%89%8B%E6%B8%B8%E7%94%A8%E6%88%B7%E6%B5%81%E5%A4%B1%E9%A2%84%E6%B5%8B
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https://patch-diff.githubusercontent.com/xmlorange/ML_class#ml_class
https://www.xuetangx.com/training/ML080910036802/1048372?channel=i.area.page_course_ad。https://www.xuetangx.com/training/ML080910036802/1048372?channel=i.area.page_course_ad%E3%80%82
https://blog.csdn.net/Can__er?type=blog。https://blog.csdn.net/Can__er?type=blog%E3%80%82
https://patch-diff.githubusercontent.com/xmlorange/ML_class#exp1-基于决策树的英雄联盟游戏胜负预测
https://patch-diff.githubusercontent.com/xmlorange/ML_class#任务介绍
Kagglehttps://www.kaggle.com/bobbyscience/league-of-legends-diamond-ranked-games-10-min
https://patch-diff.githubusercontent.com/xmlorange/ML_class#exp2基于回归分析的大学综合得分预测
https://patch-diff.githubusercontent.com/xmlorange/ML_class#一案例简介
https://patch-diff.githubusercontent.com/xmlorange/ML_class#二作业说明
数据https://www.kaggle.com/mylesoneill/world-university-rankings?select=cwurData.csv
https://patch-diff.githubusercontent.com/xmlorange/ML_class#基本要求
https://patch-diff.githubusercontent.com/xmlorange/ML_class#扩展要求
https://patch-diff.githubusercontent.com/xmlorange/ML_class#注意事项
https://patch-diff.githubusercontent.com/xmlorange/ML_class#exp3-贝叶斯垃圾邮件识别
https://patch-diff.githubusercontent.com/xmlorange/ML_class#任务介绍-1
Trec06https://plg.uwaterloo.ca/cgi-bin/cgiwrap/gvcormac/foo06
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https://patch-diff.githubusercontent.com/xmlorange/ML_class#exp4-aaai会议论文聚类分析
https://patch-diff.githubusercontent.com/xmlorange/ML_class#任务介绍-2
UCIhttps://archive.ics.uci.edu/ml/datasets/AAAI+2014+Accepted+Papers!
https://patch-diff.githubusercontent.com/xmlorange/ML_class#基本要求-2
https://patch-diff.githubusercontent.com/xmlorange/ML_class#扩展要求-2
https://patch-diff.githubusercontent.com/xmlorange/ML_class#exp5-基于集成学习的amazon用户评论质量预
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https://patch-diff.githubusercontent.com/xmlorange/ML_class#扩展要求-3
https://patch-diff.githubusercontent.com/xmlorange/ML_class#exp6-基于集成学习的amazon用户评论质量预测
https://patch-diff.githubusercontent.com/xmlorange/ML_class#一案例简介-2
https://patch-diff.githubusercontent.com/xmlorange/ML_class#二作业说明-2
AUChttps://scikit-learn.org/stable/modules/model_evaluation.html#roc-metrics
https://patch-diff.githubusercontent.com/xmlorange/ML_class#基本要求-4
https://patch-diff.githubusercontent.com/xmlorange/ML_class#扩展要求-4
https://patch-diff.githubusercontent.com/xmlorange/ML_class#课程设计-某闯关类手游用户流失预测
https://patch-diff.githubusercontent.com/xmlorange/ML_class#一案例简介-3
https://patch-diff.githubusercontent.com/xmlorange/ML_class#二作业说明-3
https://patch-diff.githubusercontent.com/xmlorange/ML_class#ml_class-1
https://www.xuetangx.com/training/ML080910036802/1048372?channel=i.area.page_course_ad。https://www.xuetangx.com/training/ML080910036802/1048372?channel=i.area.page_course_ad%E3%80%82
https://blog.csdn.net/Can__er?type=blog。https://blog.csdn.net/Can__er?type=blog%E3%80%82
https://patch-diff.githubusercontent.com/xmlorange/ML_class#exp1-基于决策树的英雄联盟游戏胜负预测-1
https://patch-diff.githubusercontent.com/xmlorange/ML_class#任务介绍-3
Kagglehttps://www.kaggle.com/bobbyscience/league-of-legends-diamond-ranked-games-10-min
https://patch-diff.githubusercontent.com/xmlorange/ML_class#exp2基于回归分析的大学综合得分预测-1
https://patch-diff.githubusercontent.com/xmlorange/ML_class#一案例简介-4
https://patch-diff.githubusercontent.com/xmlorange/ML_class#二作业说明-4
数据https://www.kaggle.com/mylesoneill/world-university-rankings?select=cwurData.csv
https://patch-diff.githubusercontent.com/xmlorange/ML_class#基本要求-5
https://patch-diff.githubusercontent.com/xmlorange/ML_class#扩展要求-5
https://patch-diff.githubusercontent.com/xmlorange/ML_class#注意事项-1
https://patch-diff.githubusercontent.com/xmlorange/ML_class#exp3-贝叶斯垃圾邮件识别-1
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Trec06https://plg.uwaterloo.ca/cgi-bin/cgiwrap/gvcormac/foo06
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https://patch-diff.githubusercontent.com/xmlorange/ML_class#扩展要求-6
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https://patch-diff.githubusercontent.com/xmlorange/ML_class#任务介绍-5
UCIhttps://archive.ics.uci.edu/ml/datasets/AAAI+2014+Accepted+Papers!
https://patch-diff.githubusercontent.com/xmlorange/ML_class#基本要求-7
https://patch-diff.githubusercontent.com/xmlorange/ML_class#扩展要求-7
https://patch-diff.githubusercontent.com/xmlorange/ML_class#exp5-基于集成学习的amazon用户评论质量预-1
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https://patch-diff.githubusercontent.com/xmlorange/ML_class#扩展要求-8
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