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一些可以参考的入门级案例:网络资源传送门(不断新增中)
2023-08-16 09:19 RCNS  Web

一个入门级医疗领域数据挖掘实战项目

https://mp.weixin.qq.com/s?src=11&timestamp=1692146992&ver=4715&signature=MN78Y5EmKaHLFxJf*0XoSDDddpKVJPrpdXnJh3EdoHoP14sWtmvVeJPZCErgyYCM94v9M-OvBsTzY5cWY6JIkhT8BWS3A8O1l3yUbINTNRhKbolGQBL8dlyCxzMUITyR&new=1


数据挖掘实战:客户价值识别实现精准营销

https://mp.weixin.qq.com/s?src=11&timestamp=1692146992&ver=4715&signature=5pc4cBNwFbQ7QoJqY-yqtur3O11NQkW1r5eu1SNmBMQRiGpLCZ1hXowwNQr96ORBZOrsldbwYbPPSw5*5kQy4GmZX8Dsmh0KB2l-Df1IPHniJn6H5J*jxC6fspwKtVAn&new=1


一个企业级数据挖掘实战项目|教育数据挖掘

https://mp.weixin.qq.com/s?src=11&timestamp=1692148134&ver=4715&signature=vtLmH0Mptz3E6Kp*--aUghV2D6ituj3KmguRA1lz58mjw2lCtybgUeLbm9mJqJK3ovi8ip*ORtXla6aqH7C*T6Ns54yC7HVQiwesyc9VuQW9WsqvIHBehHxDQQvqUESX&new=1



数据挖掘实战:个人信贷违约预测

https://mp.weixin.qq.com/s?src=11&timestamp=1692148134&ver=4715&signature=5pc4cBNwFbQ7QoJqY-yqtur3O11NQkW1r5eu1SNmBMTd63*yZjg8*mRsTok7SafAiu-0f*Jd1VBsdehBE5H-Hc2NSCJyKm2FGmEyyYsznJfA8c24YC08By2p*hkcVAbO&new=1



分享一个能够写在简历里的企业级数据挖掘实战项目

https://mp.weixin.qq.com/s?src=11&timestamp=1692148134&ver=4715&signature=QxaXds7zOxKDJxm9aOPsQPiyZF7xPqPH*v-8Lk4jYokKGYYMbp2W2oJzdfXMCYjQA2Rsiytlag1soF8QvdI2SiSorIdS8EtPsGC2zH*c96dh1jZ896I9IesyfSQozbr3&new=1



数据挖掘实战:2万字深度分析《电信用户流失预测模型》

https://mp.weixin.qq.com/s?src=11&timestamp=1692148292&ver=4715&signature=5pc4cBNwFbQ7QoJqY-yqtur3O11NQkW1r5eu1SNmBMTjN54o31BIFrAOf3g9yOU-XzXxfg*mRNpszQFqVPPk9rsGIbo4WehSM1*M4j82qMGIqaYkf-n-TypwVuKv*kAv&new=1



案例 | R语言数据挖掘实战:电商评论情感分析

https://mp.weixin.qq.com/s?src=3&timestamp=1692148346&ver=1&signature=shSaGeZCGbmwLetTeH27R4633gyhBqFnxbkiws1qLPQhNdaMXfW483vfnEwE21NV7KWfDPoI*IUWmsDVd6Egi9VQ1yfC2I46FeTzVspGx6po6iL*9-JJC2YSqXRFaIMrLfmf5sdkk9PS*JC14Zmi9Uk7SwBbt4qXwTpUDM60iBo=&poc_token=HIki3GSjGaU-UWUUOnAazS-SZrKkUX6Q3MqCfu0T


一个航班票价预测数据挖掘实战案例

https://mp.weixin.qq.com/s?src=11&timestamp=1692148346&ver=4715&signature=TMMXMchrzPuRS8KCFvDkjyaVFV6So9USd4tWIomvGWqLdKt933f4gyyJhpgnARPeTHWZK3Qj18hHq6rEjpZZW3ECjbUWpLgHaKysGXdjRNBCixP*oLPf0huwbpYDWJX2&new=1


数据挖掘实战3:利用层次聚类算法进行基于基站定位数据的商圈分析

https://mp.weixin.qq.com/s?src=11&timestamp=1692148430&ver=4715&signature=XuxOMPiXZHVBw-rJzX2UeV8mJPnwFYaqwHHWGluTQoTdrASanM3e3i*z-pkZxCAROPcMiyMa-*E9tV9XUWwyxtazpVIqu7mi5hzPCAVRz5LlZdh2sUI*ASw7T2Eu7tkf&new=1


据挖掘实战-信用卡欺诈建模全流程!

https://mp.weixin.qq.com/s?src=11&timestamp=1692148430&ver=4715&signature=Qb684aAE8TCMdXszMPmatzgdxGcEB*zaXilGMz3*vboJjvq4DTvVcgIIuOs4jK*kUAOoy3Vt*1XSoEf8q9FjTyMD8e4yu*5LhIlK9YNLv9telQvvNDgEVU-VAQ8XnXYr&new=1


数据挖掘实战:基于 RFM 的用户分层

https://mp.weixin.qq.com/s?src=11&timestamp=1692148430&ver=4715&signature=5pc4cBNwFbQ7QoJqY-yqtur3O11NQkW1r5eu1SNmBMQX1ACpfth8d4TE0JmtO5GCjCS8aLzDCZxt1-CP5BiNeYzO8Xh6S5rv9bU9NCIKD9GTznanBHpvzVduBD9PmtJY&new=1



数据挖掘实战:基于KMeans算法对超市客户进行聚类分群

https://mp.weixin.qq.com/s?src=11&timestamp=1692148546&ver=4715&signature=zxFPbzU9yk7HQ1xLkFQs9gLOefa2Y20POIqwZTblaOL7CchJ2IAivtzHnCUTeTHGBBxBp3jv9R4-vPkDyXPcgsUp3A7M9dLkHJl9f7NA0s7Sje9Fn1LPIkohYkvrQ-WG&new=1


Python 爬取淘宝商品数据挖掘分析实战

https://mp.weixin.qq.com/s?src=11&timestamp=1692148546&ver=4715&signature=MN78Y5EmKaHLFxJf*0XoSDDddpKVJPrpdXnJh3EdoHqoGyCiTkuGCagbKis5exwM8ax-hn3-xa165v1YFMi7NPHD-7vDAJ6Tq1bKKamqe4pYi6I5aaSawGTiSinfrqTq&new=1


数据挖掘案例实战:利用LDA主题模型提取京东评论数据(一)

https://mp.weixin.qq.com/s?__biz=MzI5NDI1Njk3Nw==&mid=2247486297&idx=1&sn=db45dc8400e2eb3ef28e4d347ec93a34&chksm=ec64e367db136a7131fe8488f656c54084d6393cccf6ca7fa854b488167c026522c76a957017&cur_album_id=1452742274605088770&scene=189#wechat_redirect


数据挖掘案例实战:利用LDA主题模型提取京东评论数据(二)

https://mp.weixin.qq.com/s?src=11&timestamp=1692148731&ver=4715&signature=4N-8sBYN3y7ivqvroDW6ZjZXqb1FSiXjdjkWrdfxI7dnbAD*lfCQWslNyv0fI4Ruawsh3*lJl3sJO2XmV7rQ7Cfjqzts5A7U2KmkQoPOwKjkUNYD51bOErdrgZJXiQ12&new=1


数据挖掘案例实战:利用LDA主题模型提取京东评论数据(三)

https://mp.weixin.qq.com/s?__biz=MzI5NDI1Njk3Nw==&mid=2247486347&idx=1&sn=6e8e98888bd0dc2d57d6c5d6a5a9e617&chksm=ec64e3b5db136aa3bd63b908cd3bd586acb2ba222b99ea46640de528eec677a98f262ce71dab&cur_album_id=1452742274605088770&scene=189#wechat_redirect


数据挖掘案例实战:利用LDA主题模型提取京东评论数据(四)

https://mp.weixin.qq.com/s?__biz=MzI5NDI1Njk3Nw==&mid=2247486376&idx=1&sn=26bb144a2eced4b1c4b36e0678f836ab&chksm=ec64e396db136a80c3cdfd64f9649bc9eb5ed0e6b4759d284509267c6c4010f9188afb580e43&cur_album_id=1452742274605088770&scene=189#wechat_redirect


https://mp.weixin.qq.com/mp/appmsgalbum?__biz=MzI5NDI1Njk3Nw==&action=getalbum&album_id=1452742274605088770&subscene=159&subscene=189&scenenote=https%3A%2F%2Fmp.weixin.qq.com%2Fs%3F__biz%3DMzI5NDI1Njk3Nw%3D%3D%26mid%3D2247486376%26idx%3D1%26sn%3D26bb144a2eced4b1c4b36e0678f836ab%26chksm%3Dec64e396db136a80c3cdfd64f9649bc9eb5ed0e6b4759d284509267c6c4010f9188afb580e43%26cur_album_id%3D1452742274605088770%26scene%3D189%23wechat_redirect&nolastread=1#wechat_redirect


数据挖掘十大经典算法之“关联规则挖掘的应用”

数据分析案例:商品零售购物篮分析(一)

https://mp.weixin.qq.com/s?__biz=MzI5NDI1Njk3Nw==&mid=2247485256&idx=1&sn=90bde84cc03a3ae6acb3ec0379fbb16f&chksm=ec64ef76db136660e26feedefcb4a845f0cd0bb965d18620c908a8e416a5e5a6521ce0416765&scene=21#wechat_redirect


数据分析案例:商品零售购物篮分析(二)

https://mp.weixin.qq.com/s?__biz=MzI5NDI1Njk3Nw==&mid=2247485272&idx=1&sn=c2eea020c2690797994648dd6e562630&chksm=ec64ef66db136670b93be6ecc40179f268622f391ba6d73fa9d58d52fe37f892251f83eb7b1a&scene=178&cur_album_id=1452742274605088770#rd


数据分析案例:商品零售购物篮分析(三)

https://mp.weixin.qq.com/s?__biz=MzI5NDI1Njk3Nw==&mid=2247485294&idx=1&sn=9571a3cddcc899de0903be3d9b596666&chksm=ec64ef50db136646fc3fe6803904054d1eb1179a37ff0549926de0f77eb48f87edb08170a9df&cur_album_id=1452742274605088770&scene=189#wechat_redirect





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