{"id":17988256,"url":"https://github.com/program-spiritual/dataanalysisinaction","last_synced_at":"2025-09-23T20:31:46.536Z","repository":{"id":37663818,"uuid":"162404329","full_name":"program-spiritual/DataAnalysisInAction","owner":"program-spiritual","description":"(Finished) Geek Time Data Analysis Practical 45 Lecture - Detailed notes containing markdown images mind map code data can be read directly code test","archived":true,"fork":false,"pushed_at":"2024-01-21T10:03:54.000Z","size":45079,"stargazers_count":705,"open_issues_count":9,"forks_count":274,"subscribers_count":34,"default_branch":"master","last_synced_at":"2025-03-15T17:14:18.953Z","etag":null,"topics":["data-analysis","data-analytics","in-action","notebook-jupyter","pipenv","pyenv","python","python-data-analysis","python-data-science","python3"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/program-spiritual.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":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-12-19T08:10:50.000Z","updated_at":"2025-02-22T03:33:46.000Z","dependencies_parsed_at":"2022-08-28T10:01:13.666Z","dependency_job_id":"ed25a793-c76b-4951-8080-2a0ccefbdc7d","html_url":"https://github.com/program-spiritual/DataAnalysisInAction","commit_stats":null,"previous_names":["yiyandaoren/dataanalysisinaction","program-spiritual/dataanalysisinaction"],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/program-spiritual/DataAnalysisInAction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/program-spiritual%2FDataAnalysisInAction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/program-spiritual%2FDataAnalysisInAction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/program-spiritual%2FDataAnalysisInAction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/program-spiritual%2FDataAnalysisInAction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/program-spiritual","download_url":"https://codeload.github.com/program-spiritual/DataAnalysisInAction/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/program-spiritual%2FDataAnalysisInAction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":276644785,"owners_count":25679214,"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","status":"online","status_checked_at":"2025-09-23T02:00:09.130Z","response_time":73,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["data-analysis","data-analytics","in-action","notebook-jupyter","pipenv","pyenv","python","python-data-analysis","python-data-science","python3"],"created_at":"2024-10-29T19:11:10.048Z","updated_at":"2025-09-23T20:31:41.528Z","avatar_url":"https://github.com/program-spiritual.png","language":"Python","readme":"#  《极客时间数据分析实战45讲-详细笔记》\n\n\u003e 亲爱的朋友们，现在 AI 时代已经到来，我的项目维护虽然在继续，但是无法同步和大家分享知识，最近我已经注册了微信订阅号，希望看到的朋友互相通知一下： 微信公众号：编程悟道\n\n\n[![LICENSE](https://img.shields.io/badge/license-Anti%20996-blue.svg)](https://github.com/996icu/996.ICU/blob/master/LICENSE)\n[![996.icu](https://img.shields.io/badge/link-996.icu-red.svg)](https://996.icu)\n\n## 博客 BLog\n\nnodejs7.com\n\n## 版本 2.3.1\n\n![](img/DataAnalysisInAction-snap.png)\n\n[在线文档](https://xiaomiwujiecao.github.io/DataAnalysisInAction)\n\n## 代码克隆出错\n\n```bash\n// Skip smudge - We'll download binary files later in a faster batch\ngit lfs install --skip-smudge\n\n// Do git clone here\ngit clone ...\n\n// Fetch all the binary files in the new clone\ngit lfs pull\n\n// Reinstate smudge\ngit lfs install --force\n```\n\n## 前言\n\n### 工欲善其事必先利其器\n\nWindows平台开发如何能够更快捷，更舒适，请 Windows 的看官务必读一下这篇：\n\n[windows 流畅开发准备工作](https://ai.nodejs7.com/2020/01/14/118.html)\n\n### 环境及配置问题\n\n-  常见问题在本项目的 `Issues` 中，其他按住不表，如果存在疑问，请在Issues中添加新的 `Issue`\n\n-  配置清华大学 `pipenv` 源的方法请 [点我](https://github.com/xiaomiwujiecao/DataAnalysisInAction/issues/9)\n\n-  所有代码 依赖包 请结合 `pipenv` 和  `pyenv`  运行 ， 如果包含以上环境 请直接运行 `pipenv install`  安装所有依赖 ，依赖包已包含在 `Pipfile`\n\n\u003e 注意： 本项目仅限于学习\n\n### 问题讨论：\n\n1. [问题讨论区](https://github.com/xiaomiwujiecao/DataAnalysisInAction/issues/14)\n2. [疑难杂症](https://ai.nodejs7.com/category/default/)\n\n\n## 致谢\n\n感谢阁下的star，感谢关注此项目！\n\n## 数据集合收集\n\n数据集合收集正在进行中，参见：[python 数据集收集与整理](https://github.com/xiaomiwujiecao/pythonDataSetCollection)\n\n## 目录\n\n### (🆕更新至第 `46` 讲)  *已完结*\n\n1. 配置镜像源为 `清华大学` 镜像源\n2. 项目 `pyenv` 依赖为 `Python 3.6.7`\n3. 如果需要重新安装依赖 请删除项目根路径下的 `.venv` 目录 和 `Pipfile.lock`文件\n\n## 知识体系\n\n![知识体系.png](https://static.nodejs7.com/2020/01/798357214.png)\n\n### 目录\n\n-  **基础与算法**\n    - [01丨 数据分析全景图及修炼指南（笔记）](./01/README.md)\n    - [02丨 学习数据挖掘的最佳路径是什么?（笔记）](./02/README.md)\n    - [03丨 PYTHON基础语法?（习题）](./03/README.md)\n    - [04丨 Numpy（笔记）](./04/README.md)\n    - [05丨 Pandas（代码）](./05/README.md)\n    - [11丨 数据清洗（部分代码）](./11/README.md)\n    - [14丨 数据可视化）](./14/README.md)\n    - [15丨 一次学会Python数据可视化的10种技能](./15/README.md)\n    - [16-17丨 决策树](./16-17/README.md)\n    - [18丨 分类回归树](./18/README.md)\n    - [19丨 泰坦尼克号生存预测](./19/README.md)\n    - [20丨 -朴素贝叶斯(上)](./20/README.md)\n    - [21丨 -朴素贝叶斯(下)](./21/README.md)\n    - [22丨 -SVM(上)](./22/README.md)\n    - [23丨 -SVM(下) 如何进行乳腺癌检测](./23/README.md)\n    - [24丨 -KNN(上)](./24/README.md)\n    - [25丨 -KNN(下) 如何识别手写数字](./25/README.md)\n    - [26丨 K-Means(上) 如何给20支亚洲球队做聚类？](./26/README.md)\n    - [27丨 K-Means(下) 如何使用K-Means对图像进行分割？](./27/README.md)\n    - [28丨 EM (上) 如何将一份菜等分给两个人？](./28/README.md)\n    - [29丨 EM (下) 用EM算法对王者荣耀英雄进行划分](./29/README.md)\n    - [30丨 关联挖掘 (上) 如何用Apriori发现用户购物规则？](./30/README.md)\n    - [31丨 关联挖掘 (下) 导演如何选择演员？](./31/README.md)\n    - [32丨 PageRank (上) 搞懂Google的PageRank算法](./32/README.md)\n    - [33丨 PageRank (下) 分析希拉里邮件中的人物关系](./33/README.md)\n    - [34丨 AdaBoost (上) 如何使用AdaBoost提升分类器性能？](./34/README.md)\n    - [35丨 AdaBoost (下) 如何使用AdaBoost对房价进行预测？](./35/README.md)\n- **场景实战**\n    - [37丨 数据采集实战：如何自动化运营微博？](./37/README.md)\n    - [38丨数据可视化实战：如何给毛不易的歌曲做词云展示？](./38/README.md)\n    - [39丨数据挖掘实战（1）：信用卡违约率分析](./39/README.md)\n    - [40丨数据挖掘实战（2）：信用卡诈骗分析](./40/README.md)\n    - [41丨数据挖掘实战（3）：如何对比特币走势进行预测？](./41/README.md)\n    - [42丨当我们谈深度学习的时候，我们都在谈什么？](./42/README.md)\n    - [43丨深度学习（下）：如何用Keras搭建深度学习网络做手写数字识别？](./43/README.md)\n    - [44丨如何培养你的数据分析思维？](./44/README.md)\n    - [45丨求职简历中没有相关项目经验，怎么办？](./45/README.md)\n    - [46丨课程推荐](./46/README.md)\n## TODO\n\n### 算法\n- [x] 1.朴素贝叶斯分类\n- [x] 2.SVM\n- [x] 3.KNN\n- [x] 4.K-Means\n- [x] 5.EM 聚类\n- [x] 6.关联规则挖掘\n- [x] 7.PageRank\n- [x] 8.AdaBoost\n### 场景实战\n- [x] 9.自动化运营微博\n- [x] 10.毛不易歌词云\n- [x] 11.信用卡违约率分析\n- [x] 12.信用卡诈骗分析\n- [x] 13.信用卡诈骗分析\n- [x] 14.如何对比特币走势进行预测？\n- [x] 15.我们谈深度学习的时候，我们都在谈什么？\n- [x] 16.如何用Keras搭建深度学习网络做手写数字识别？\n- [x] 17.最终章【送君千里终须一别】\n- [x] 18.课程推荐\n\n\n\n\n## 新项目通告\n\n`github` 地址：[架构师的功夫](https://github.com/xiaomiwujiecao/KongFuOfArchitect)\n\n\n## PS\n\n2. 获取数据请自学Scrapy\n3. 多多动手实践  \n\n## python 环境\n\n1. `pipenv`\n2. `pyenv`\n\n\u003e 请读者自行百度并安装\n\n## 引用内容版权声明\n极客时间版权所有: https://time.geekbang.org/column/\n\nCopyright (c) 2019 Copyright Holder All Rights Reserved.\n\n\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprogram-spiritual%2Fdataanalysisinaction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprogram-spiritual%2Fdataanalysisinaction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprogram-spiritual%2Fdataanalysisinaction/lists"}