Alternatives and similar repositories for customer_churn_prediction

Users that are interested in customer_churn_prediction are comparing it to the libraries listed below

• Eleanoryuyuyu / RecommendRelative
  推荐系统相关模型 包括召回和排序
  ☆30Updated 5 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 4 years ago
• bettenW / 2018-iFLYTEK-Marketing-Algorithms-Competition-Finals-Rank1
  2018科大讯飞营销算法大赛（冠军方案）
  ☆95Updated 6 years ago
• wuxinping1992 / cf_gbdt_lr
  简单的实现推荐系统的召回模型和排序模型，其中召回模型使用协同过滤算法，排序模型使用gbdt+lr算法
  ☆58Updated 6 years ago
• wangruichens / recsys
  LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入，方便实际场景应用。
  ☆105Updated 5 years ago
• xSupervisedLearning / Rong360_feature_mining_1st_solution
  ☆66Updated 6 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 8 years ago
• wangru8080 / gbdt-lr
  gbdt+lr
  ☆160Updated 6 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆103Updated 2 years ago
• vinklibrary / ppd_mojing4
  第四届拍拍贷魔镜杯建模分享
  ☆35Updated 6 years ago
• yzkang / QH_FInSight
  国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)
  ☆87Updated 7 years ago
• batch-norm / xDeepFM
  xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  ☆129Updated 6 years ago
• HanXiaoyang / pyspark-recommendation-demo
  movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)
  ☆95Updated 9 years ago
• RainFung / Tianchi-AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
  1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
  ☆193Updated 5 years ago
• searchlink / din
  keras implementation about Deep Interest Network
  ☆66Updated 6 years ago
• finafily526 / A_Model_of_Risk_Control
  关于评分卡的基本流程
  ☆68Updated 6 years ago
• deymm / encoder2predict
  利用Encoder对二分类任务的序列数据进行概率预测
  ☆51Updated 5 years ago
• MachineLP / Spark-
  Spark学习笔记
  ☆45Updated 2 years ago
• YouChouNoBB / ijcai-17-top1-single-mole-solution
  IJCAI-17 top1 solution
  ☆65Updated 7 years ago
• liulin7576 / DL_CTR
  基于科大讯飞AI营销算法比赛实现CTR深度学习方法
  ☆46Updated 6 years ago
• chenxingqiang / YouTube-DNN-RecSys
  This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The re…
  ☆63Updated 2 weeks ago
• yongyehuang / DC-hi_guides
  [Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11
  ☆96Updated 7 years ago
• chenkkkk / User-loan-risk-prediction
  马上AI全球挑战者大赛 rank 1st
  ☆256Updated 7 years ago
• vinklibrary / jdata_code
  用户对品类下店铺的购买预测
  ☆27Updated 6 years ago
• ultimatejoe / rong_360_1
  融360智能金融算法大赛——拒绝推断
  ☆26Updated 6 years ago
• JerryCatLeung / deepwalk_node2vector_eges
  将deepwalk、node2vector和阿里的文章:Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba 用代码实现
  ☆55Updated 6 years ago
• sunwantong / China-Merchants-Bank-credit-card-Cente-User-purchase-forecast
  招商银行信用卡中心 消费金融场景下的用户购买预测 rank1
  ☆211Updated 6 years ago
• siqi13579 / ctr_Keras
  LR, Wide&Deep, DCN, NFM, DeepFM, NFFM
  ☆116Updated 6 years ago
• mathcbc / Rank7-Solution-for-2018-ATEC-Anti-Fraud-Competition
  ATEC蚂蚁开发者大赛-支付风险识别-Rank7
  ☆86Updated 7 years ago
• QingqingSUN / YoutubeNet
  recommendation system with Youtube Deep Net
  ☆84Updated 7 years ago