# README

相关数据集可在[全部数据集下载地址.txt](https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E5%85%A8%E9%83%A8%E6%95%B0%E6%8D%AE%E9%9B%86%E4%B8%8B%E8%BD%BD%E5%9C%B0%E5%9D%80.txt)下载

### 难度由上至下递增

> 基于人数及赛题

- [信用卡欺诈检测](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E4%BF%A1%E7%94%A8%E5%8D%A1%E6%AC%BA%E8%AF%88%E6%A3%80%E6%B5%8B)
  - INFO: 逻辑回归、分类任务、预测0/1
- [工业化工生产预测](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E5%B7%A5%E4%B8%9A%E5%8C%96%E5%B7%A5%E7%94%9F%E4%BA%A7%E9%A2%84%E6%B5%8B)
  - INFO: xgboost、细粒度处理、冠军方案
- [智慧城市-道路通行时间预测](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%99%BA%E6%85%A7%E5%9F%8E%E5%B8%82-%E9%81%93%E8%B7%AF%E9%80%9A%E8%A1%8C%E6%97%B6%E9%97%B4%E9%A2%84%E6%B5%8B)
  - INFO: 时间分片、特征交叉、预测道路通行时间
- [建筑能源利用率预测](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E5%BB%BA%E7%AD%91%E8%83%BD%E6%BA%90%E5%88%A9%E7%94%A8%E7%8E%87%E9%A2%84%E6%B5%8B)
  - INFO: 模型流程、多模型比较及可视化、预测得分
- [快手短视频用户活跃度分析](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E5%BF%AB%E6%89%8B%E7%9F%AD%E8%A7%86%E9%A2%91%E7%94%A8%E6%88%B7%E6%B4%BB%E8%B7%83%E5%BA%A6%E5%88%86%E6%9E%90)
  - INFO: RNN网络、时间序数据、冠军方案
- [ACM SIGSPATIAL 2021预估到达时间](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/ACM%20SIGSPATIAL%202021%20GISCUP)
  - INFO：时空域模型、DCN-蒸馏+WD+LGB、博主Top1%/7th
- [Indoor Location & Navigation](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/Indoor%20Location%20%26%20Navigation)
  - INFO: 回归+分类、后处理、博主Top2%/19th
- [第三届阿里云磐久智维算法大赛](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E7%AC%AC%E4%B8%89%E5%B1%8A%E9%98%BF%E9%87%8C%E4%BA%91%E7%A3%90%E4%B9%85%E6%99%BA%E7%BB%B4%E7%AE%97%E6%B3%95%E5%A4%A7%E8%B5%9B)
  - INFO: 多分类、NLP、时序、博主Top1%/亚军



### 以及实战（练手）的小项目

- [基于相似度的酒店推荐系统](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98%E5%B0%8F%E9%A1%B9%E7%9B%AE/%E5%9F%BA%E4%BA%8E%E7%9B%B8%E4%BC%BC%E5%BA%A6%E7%9A%84%E9%85%92%E5%BA%97%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F)
  - INFO: 文本处理、词权重、根据描述信息推荐
- [常用特征构建方法](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98%E5%B0%8F%E9%A1%B9%E7%9B%AE/%E5%B8%B8%E7%94%A8%E7%89%B9%E5%BE%81%E6%9E%84%E5%BB%BA%E6%96%B9%E6%B3%95)
  - INFO: 图像特征、常用特征处理方法、文本特征处理方法
- [特征工程建模](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98%E5%B0%8F%E9%A1%B9%E7%9B%AE/%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B%E5%BB%BA%E6%A8%A1)
  - INFO: 模型解释工具、银行违约、疾病引起原因