{"id":17286257,"url":"https://github.com/reata/machinelearning","last_synced_at":"2025-03-26T17:16:23.759Z","repository":{"id":104388713,"uuid":"94405105","full_name":"reata/MachineLearning","owner":"reata","description":"Machine Learning Jupyter Notebook","archived":false,"fork":false,"pushed_at":"2017-12-23T12:56:24.000Z","size":1768,"stargazers_count":0,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-31T22:07:01.383Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://nbviewer.jupyter.org/github/reata/MachineLearning/tree/master/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/reata.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":"Support Vector Machines.ipynb","governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-06-15T05:59:21.000Z","updated_at":"2017-06-28T03:06:31.000Z","dependencies_parsed_at":"2023-03-08T07:30:47.573Z","dependency_job_id":null,"html_url":"https://github.com/reata/MachineLearning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/reata%2FMachineLearning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/reata%2FMachineLearning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/reata%2FMachineLearning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/reata%2FMachineLearning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/reata","download_url":"https://codeload.github.com/reata/MachineLearning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245699263,"owners_count":20657987,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-15T09:58:49.987Z","updated_at":"2025-03-26T17:16:23.744Z","avatar_url":"https://github.com/reata.png","language":"Jupyter Notebook","readme":"MachineLearning\n=========\n\n本项目包含机器学习的Jupyter Notebook\n\n### 目录\n\n1. 监督学习（Supervised Learning）\n    - [线性回归 Linear Regression](https://github.com/reata/MachineLearning/blob/master/Linear%20Regression.ipynb)\n    - [逻辑回归 Logistic Regression](https://github.com/reata/MachineLearning/blob/master/Logistic%20Regression.ipynb)\n    - [广义线性模型 Generalized Linear Models](https://github.com/reata/MachineLearning/blob/master/Generalized%20Linear%20Models.ipynb)\n    - [生成学习算法 Generative Learning Algorithms](https://github.com/reata/MachineLearning/blob/master/Generative%20Learning%20Algorithms.ipynb)\n    - [支持向量机 Support Vector Machines](https://github.com/reata/MachineLearning/blob/master/Support%20Vector%20Machines.ipynb)\n    \n2. 学习理论（Learning Theory）\n    - [学习理论 Learning Theory](https://github.com/reata/MachineLearning/blob/master/Learning%20Theory.ipynb)\n    - [正则化和模型选择 Regularization and Model Selection](https://github.com/reata/MachineLearning/blob/master/Regularization%20and%20Model%20Selection.ipynb)\n    - [应用机器学习 Advice on Applying Machine Learning](https://github.com/reata/MachineLearning/blob/master/Advice%20on%20Applying%20Machine%20Learning.ipynb)\n\n3. 非监督学习（Unsupervised Learning）\n    - [k均值聚类 k-Means Clustering](https://github.com/reata/MachineLearning/blob/master/k-Means%20Clustering%20Algorithm.ipynb)\n    - [高斯混合模型 Gaussian Mixture Models](https://github.com/reata/MachineLearning/blob/master/Gaussian%20Mixture%20Models.ipynb)\n    - [EM算法 The EM Algorithm](https://github.com/reata/MachineLearning/blob/master/The%20EM%20Algorithm.ipynb)\n    - [因子分析 Factor Analysis](https://github.com/reata/MachineLearning/blob/master/Factor%20Analysis.ipynb)\n    - [主成分分析 Principal Components Analysis](https://github.com/reata/MachineLearning/blob/master/Principal%20Components%20Analysis.ipynb)\n    - [独立成分分析 Independent Components Analysis](https://github.com/reata/MachineLearning/blob/master/Independent%20Components%20Analysis.ipynb)\n\n4. 强化学习（Reinforcement Learning）\n    - [强化学习和控制 Reinforcement Learning and Control](https://github.com/reata/MachineLearning/blob/master/Reinforcement%20Learning%20and%20Control.ipynb)\n\n### 参考资料\n1. 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