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数据挖掘经典算法案例 本案例选自南京工业大学信息管理与信息系统专业的数据挖掘课程。本课程主要以机器学习入门算法为主,涉及回归、分类、聚类等经典算法。 代码包含四个课程案例,分别选自不同领域,具有不同的数据挖掘目标。 每个文件夹中包含原始数据和对应的代码以及presentation的PPT。 Release中为本人的课堂笔记,如有错误,欢迎指正!

active 2023-08-242024-07-24 (UTC)

Complete coverage27,237 / 27,239 hourly files (100%) · 2 absent upstream2023-08-152026-09-22 (UTC)
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10
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1
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6
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Line chart, 336 days from 2023-08-24 to 2024-07-24. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 6 total, peak 2 in a day.

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KyleOnly2101
maryydwdwd1000

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 6 stars here means stars gained during the window, not the repo's star count.