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数据科学竞赛经验谈\n如何做数据分析？  \n如何做数据清洗？  \n如何做特征工程？(面向关系型数据的特征工程系统化分析方法)  \n如何做特征选择？  \n如何选择合适的机器学习模型？  \n如何调参？  \n如何做模型融合？  \n如何上分刷榜？  \n\n目前文字版已开源，请大家前往知乎阅读：https://zhuanlan.zhihu.com/p/149769029\n\n纯文字PDF版已经制作完成，已与PPT版一起上传至我的知识星球。想咨询竞赛经验、快速上分、争夺奖金的同学，欢迎到大卫的小屋与我交流：https://t.zsxq.com/IMfe2vB \n\n## 联系方式\n\nE-mail: davidkangyz@163.com  \n\n知识星球：https://t.zsxq.com/IMfe2vB  \n  \n## 附录\n\n本人竞赛成绩总结\n\n| 年份 | 竞赛平台 | 举办单位 | 竞赛名称 | 竞赛成绩 | 排名\n| ---- | ---- | ---- | ---- |  ----  | ---- |\n| 2017 | 科赛网 | 中国平安 | 前海征信“好信杯”迁移学习算法大赛 | 第6名 | 6/600\n| 2017 | 天池大数据众智平台 | 阿里云 | 第二届云安全算法挑战赛 | 第16名 | 16/959\n| 2018 | 中国农业银行 | 中国农业银行软件开发中心 | 第一届“雅典娜杯”分析挖掘大赛 | 第2名 | 2/581\n| 2018 | 马上金融AI竞赛平台 | 马上金融 | AI全球挑战者大赛 — 违约风险识别赛 | 第4名 | 4/107\n| 2018 | 天池大数据众智平台 | 阿里云 | 千里马大数据竞赛——风险识别算法赛 | 第5名 | 5/245\n| 2018 | 蚂蚁金服金融科技平台 | 蚂蚁金服 | 蚂蚁开发者大赛 — 支付风险识别赛题 | 第9名 | 9/2986\n| 2018 | 天池大数据众智平台 | 阿里巴巴 | IJCAI2018 — 阿里妈妈国际广告算法大赛 | 前2% \n| 2018 | DataFountain | 中国平安 | 产险数据建模大赛——驾驶行为预测驾驶风险 | 前2% \n| 2018 | kaggle | Two Sigma | Two Sigma Investment Financial Modeling Challenge | 前3% \n| 2019 | 天池大数据众智平台 | 天津市津南区政府 | 津南数字制造算法挑战赛 | 第2名 | 2/2682\n| 2019 | 中国农业银行 | 中国农业银行软件开发中心 | 第二届“雅典娜杯”分析挖掘大赛 | 第4名 | 4/361\n\n因时间冲突未获奖的竞赛\n\n| 年份 | 竞赛平台 | 举办单位 | 竞赛名称 | 竞赛成绩 | \n| ---- | ---- | ---- | ---- |  ----  |\t\t\t\t\n| 2016 | 滴滴AI竞赛平台 | 滴滴出行 | 首届全球DI-Tech算法大赛 |\n| 2016 | 融360自建平台 | 融360 | “天机”金融风控大数据竞赛 |\n| 2017 | DataCastle | 融360 | 智慧中国杯——用户贷款风险预测 | 前10% | \n| 2017 | Kaggle | Sberbank | Sberbank Russian Housing Market | \n| 2017 | 天池大数据众智平台 | 高德 | KDD CUP Highway Tollgates Traffic Flow Prediction | \n| 2018 | 京东智汇平台 | 京东 | JData全球运筹优化大赛 | \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyzkang%2FMy-Data-Competition-Experience","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyzkang%2FMy-Data-Competition-Experience","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyzkang%2FMy-Data-Competition-Experience/lists"}