{"id":19845499,"url":"https://github.com/smileexpression/machine-learning-and-data-mining","last_synced_at":"2026-04-07T20:31:32.158Z","repository":{"id":202568751,"uuid":"705751158","full_name":"smileexpression/Machine-Learning-and-Data-Mining","owner":"smileexpression","description":"A repo to store the code of SYSU's Machine Learning and Data Mining.","archived":false,"fork":false,"pushed_at":"2024-01-08T16:20:06.000Z","size":7951,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-28T22:51:19.773Z","etag":null,"topics":["jupyter-notebook","latex","machine-learning","python3","sysu-course"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Laboratory.\n\n**大作业仓库链接**\n\n[Los-Angeles-Crime](https://github.com/ArronVague/Los-Angeles-Crime)\n\n## Complaints\n\nDo not use '-' in the file name. \n\n## 大作业 Dataset\n\n最终都没采纳。\n\n[Spotify Tracks Genre](https://www.kaggle.com/datasets/thedevastator/spotify-tracks-genre-dataset)\n\n[High School Student Performance \u0026 Demographics](https://www.kaggle.com/datasets/dillonmyrick/high-school-student-performance-and-demographics)\n\n[Video Games Data](https://www.kaggle.com/datasets/maso0dahmed/video-games-data)\n\n## 复习视频汇总\n\n[【五分钟机器学习】机器学习的起点：线性回归Linear Regression](https://www.bilibili.com/video/BV17T4y1J7SB/?spm_id_from=333.337.search-card.all.click\u0026vd_source=212ff176b778171e26249f81cfb5bdbc)\n\n[【五分钟机器学习】机器分类的基石：逻辑回归Logistic Regression](https://www.bilibili.com/video/BV1gA411i7SR/?spm_id_from=333.337.search-card.all.click\u0026vd_source=212ff176b778171e26249f81cfb5bdbc)\n\n[【小萌五分钟】机器学习 | 模型评估](https://www.bilibili.com/video/BV1vt4y117Zz/?spm_id_from=333.337.search-card.all.click\u0026vd_source=212ff176b778171e26249f81cfb5bdbc)\n\n- 为一系列\n\n[【机器学习】期末速成课——课时5 集成学习算法-GBDT、XGBoost](https://www.bilibili.com/video/BV1eg4y1Q7yX/?spm_id_from=333.337.search-card.all.click\u0026vd_source=212ff176b778171e26249f81cfb5bdbc)\n\n[【机器学习】期末速成课——课时7 聚类分析](https://www.bilibili.com/video/BV1xj411E7Ws/?spm_id_from=333.788\u0026vd_source=212ff176b778171e26249f81cfb5bdbc)\n\n- 分上下两集\n\n[机器学习，什么是PCA降维？一个动画告诉你答案](https://www.bilibili.com/video/BV1QS4y1e7y6/?vd_source=212ff176b778171e26249f81cfb5bdbc)\n\n[【机器学习】动画讲解贝叶斯分类器](https://www.bilibili.com/video/BV18s4y1m74s/?vd_source=212ff176b778171e26249f81cfb5bdbc)\n\n[[5分钟学算法] #05 支持向量机 软硬通吃分类大法](https://www.bilibili.com/video/BV1vv4y1g721/?vd_source=212ff176b778171e26249f81cfb5bdbc)\n\n[什么是神经网络？看一个动画，就全明白了](https://www.bilibili.com/video/BV1Hr4y1q7Y1/?spm_id_from=333.337.search-card.all.click\u0026vd_source=212ff176b778171e26249f81cfb5bdbc)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmileexpression%2Fmachine-learning-and-data-mining","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsmileexpression%2Fmachine-learning-and-data-mining","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmileexpression%2Fmachine-learning-and-data-mining/lists"}