xiaomiwujiecao / Dataanalysisinaction
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(已完结)《极客时间数据分析实战45讲-详细笔记》包含markdown、图片、思维导图、代码 、数据。 可直接阅读代码、测试!
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《极客时间数据分析实战45讲-详细笔记》
版本 2.3.1
代码克隆出错
// Skip smudge - We'll download binary files later in a faster batch
git lfs install --skip-smudge
// Do git clone here
git clone ...
// Fetch all the binary files in the new clone
git lfs pull
// Reinstate smudge
git lfs install --force
前言
工欲善其事必先利其器
Windows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:
环境及配置问题
-
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
-
配置清华大学
pipenv
源的方法请 点我 -
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
注意: 本项目仅限于学习
问题讨论:
博客
疯狂的AI(Artificial Intelligence)
致谢
感谢阁下的star,感谢关注此项目!
数据集合收集
数据集合收集正在进行中,参见:python 数据集收集与整理
目录
46
讲) 已完结
(🆕更新至第 - 配置镜像源为
清华大学
镜像源 - 项目
pyenv
依赖为Python 3.6.7
- 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
知识体系
目录
-
基础与算法
- 01丨 数据分析全景图及修炼指南(笔记)
- 02丨 学习数据挖掘的最佳路径是什么?(笔记)
- 03丨 PYTHON基础语法?(习题)
- 04丨 Numpy(笔记)
- 05丨 Pandas(代码)
- 11丨 数据清洗(部分代码)
- 14丨 数据可视化)
- 15丨 一次学会Python数据可视化的10种技能
- 16-17丨 决策树
- 18丨 分类回归树
- 19丨 泰坦尼克号生存预测
- 20丨 -朴素贝叶斯(上)
- 21丨 -朴素贝叶斯(下)
- 22丨 -SVM(上)
- 23丨 -SVM(下) 如何进行乳腺癌检测
- 24丨 -KNN(上)
- 25丨 -KNN(下) 如何识别手写数字
- 26丨 K-Means(上) 如何给20支亚洲球队做聚类?
- 27丨 K-Means(下) 如何使用K-Means对图像进行分割?
- 28丨 EM (上) 如何将一份菜等分给两个人?
- 29丨 EM (下) 用EM算法对王者荣耀英雄进行划分
- 30丨 关联挖掘 (上) 如何用Apriori发现用户购物规则?
- 31丨 关联挖掘 (下) 导演如何选择演员?
- 32丨 PageRank (上) 搞懂Google的PageRank算法
- 33丨 PageRank (下) 分析希拉里邮件中的人物关系
- 34丨 AdaBoost (上) 如何使用AdaBoost提升分类器性能?
- 35丨 AdaBoost (下) 如何使用AdaBoost对房价进行预测?
- 场景实战
TODO
算法
- [x] 1.朴素贝叶斯分类
- [x] 2.SVM
- [x] 3.KNN
- [x] 4.K-Means
- [x] 5.EM 聚类
- [x] 6.关联规则挖掘
- [x] 7.PageRank
- [x] 8.AdaBoost
场景实战
- [x] 9.自动化运营微博
- [x] 10.毛不易歌词云
- [x] 11.信用卡违约率分析
- [x] 12.信用卡诈骗分析
- [x] 13.信用卡诈骗分析
- [x] 14.如何对比特币走势进行预测?
- [x] 15.我们谈深度学习的时候,我们都在谈什么?
- [x] 16.如何用Keras搭建深度学习网络做手写数字识别?
- [x] 17.最终章【送君千里终须一别】
- [x] 18.课程推荐
新项目通告
github
地址:架构师的功夫
PS
- 获取数据请自学Scrapy
- 多多动手实践
python 环境
pipenv
pyenv
请读者自行百度并安装
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