普华永道普通教学规范
Pw course normal teaching codes (2024-01-25, Jupyter Notebook, 0KB, 下载0次)
根据运动服集团营销活动的真实数据集完成EDA。，
Complete EDA on a real data set from marketing campaign for sport wear group., (2023-08-31, Jupyter Notebook, 0KB, 下载0次)
该项目有关大数据的分类问题,是根据用户信息提取不同的特征,然后监督学习用户的分类,总共有5类,正常用户、客服人员、快递员、骚扰电话
The classification of big data in this project is to extract different features according to user information, and then supervise and learn the classification of users. There are five categories in total, namely normal users, customer service personnel, courier, and harassing calls (2020-03-06, Jupyter Notebook, 99228KB, 下载0次)
2017CCF大数据与计算智能大赛-蚂蚁金服-商铺定位赛题(全国第5名)
2017 CCF Big Data and Computing Intelligence Competition - Ant Financial Service - Store Positioning Competition (5th in China) (2018-07-25, Jupyter Notebook, 21KB, 下载0次)