Alternatives and similar repositories for logistic-regression

Users that are interested in logistic-regression are comparing it to the libraries listed below

• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆48Updated 9 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
• htbeker / Application_score_card
  ☆37Updated 6 years ago
• weiweijiuzaizhe / ctr_pipeline
  通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线
  ☆26Updated 8 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
• yanx27 / Scorecard-Modeling
  Use Machine learning to build scorecard model
  ☆32Updated 7 years ago
• keyunluo / Tencent2018_Lookalike_Rank10th
  2018年腾讯广告算法大赛Rank10代码：深度部分
  ☆68Updated 7 years ago
• AlisaBen / marvel
  Bytedance ICME2019
  ☆13Updated 6 years ago
• chenlianMT / Who-Stole-the-Postage-
  Who Stole the Postage? Fraud Detection in Return-Freight Insurance Claims
  ☆20Updated 7 years ago
• ShaoQiBNU / ESMM
  阿里巴巴ESMM模型解读
  ☆42Updated 5 years ago
• wepe / efficient-decision-tree-notes
  高效决策树算法系列笔记
  ☆229Updated 6 years ago
• IceSuger / yancheng-sales
  天池-印象盐城-汽车销量预测大赛
  ☆36Updated 7 years ago
• AbnerYang / 2016CCF-StateGrid
  CCF2016 - TNT_000二等奖作品
  ☆64Updated 8 years ago
• ZainHuang / 2018-CCF-BDCI--TOP3
  参赛者需要根据给出的基金净值、基金业绩比较基准、对应指数行情、基金间相关性等数据，构建模型、算法进行训练。
  ☆37Updated 6 years ago
• AbnerYang / 2016CCF-SouGou
  CCF2016 - TNT_000二等奖作品
  ☆87Updated 8 years ago
• klyan / JDD_Loan_Forecasting
  京东借贷需求预测
  ☆76Updated 7 years ago
• neal668 / GBDT-FM
  An implementation of GBDT+FM
  ☆24Updated 8 years ago
• jiangzhongkai / ifly-algorithm_challenge
  讯飞移动广告反欺诈算法竞赛
  ☆33Updated 5 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
  ☆85Updated 7 years ago
• kunguang / SelectFeature
  主要解决ctr预估工程中的特征选择，特征编号(特征离散),单特征auc和logloss这3个问题.
  ☆20Updated 8 years ago
• zhangslob / learning-spark
  零基础学习spark，大数据学习
  ☆46Updated 6 years ago
• onlystar666 / CCF_sougou
  CCF_大数据精准营销中搜狗用户画像挖掘
  ☆17Updated 8 years ago
• duoan / ijcai18-mama-ads-competition
  IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
  ☆74Updated 7 years ago
• duxuhao / rong360-season2
  Top 1 - code for rong360 data mining competition
  ☆50Updated 8 years ago
• Questions1 / Rong360_2nd
  第三届融360天机智能金融算法挑战赛-第二题：特征挖掘
  ☆116Updated 6 years ago
• hetrone / kesai-anti-fraud
  人工智能社会保险反欺诈分析
  ☆30Updated 7 years ago
• batch-norm / JDD-2017
  JDD-2017 京东金融大数据竞赛-销量预测-15th/889队
  ☆37Updated 7 years ago
• aimetrics / jarvis
  Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…
  ☆37Updated 5 years ago
• ryancheunggit / kddcup2018-of-fresh-air
  #30 at KDD CUP 2018 https://biendata.com/competition/kdd_2018/
  ☆42Updated 7 years ago
• shuiliwanwu / Rong360-Model-training-in-multiple-financial-scenarios
  top1解决方案
  ☆38Updated 6 years ago