Alternatives and similar repositories for Machine-Learning-From-Scratch

Users that are interested in Machine-Learning-From-Scratch are comparing it to the libraries listed below

• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆680Updated 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
• CuteChibiko / TalkingData
  TalkingData AdTracking Fraud Detection Challenge
  ☆104Updated 7 years ago
• IceSuger / yancheng-sales
  天池-印象盐城-汽车销量预测大赛
  ☆36Updated 7 years ago
• LenzDu / Kaggle-Competition-Favorita
  5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
  ☆261Updated 7 years ago
• ScienceKot / kydavra
  A python package for feature selection in python
  ☆51Updated 4 years ago
• qiaoshiji / Ctrip
  ☆16Updated 8 years ago
• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆48Updated 9 years ago
• phuijse / bagging_pu
  Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles
  ☆93Updated 9 years ago
• DrJZhou / KDD_CUP_2018
  KDD CUP 2018
  ☆129Updated 7 years ago
• msahamed / handle_imabalnce_class
  Address imbalance classes in machine learning projects.
  ☆65Updated 7 years ago
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆256Updated 6 years ago
• surajiyer / Transfer-learning-with-TrAdaBoost
  Scikit-learn style implementation of TrAdaBoost algorithm
  ☆36Updated 8 years ago
• NoxMoon / home-credit-default-risk
  Kaggle home credit default risk competition
  ☆60Updated 7 years ago
• jiuxianghedonglu / Context-Aware-Multi-Modal-Transportation-Recommendation
  KDD CUP 2019 Baseline
  ☆102Updated 6 years ago
• YC-Coder-Chen / feature-engineering-handbook
  A practical feature engineering handbook
  ☆332Updated 5 years ago
• apachecn / interpretable-ml-book-zh
  interpretable-ml-book中文翻译
  ☆137Updated 5 years ago
• louis925 / kaggle-web-traffic-time-series-forecasting
  Solution to Kaggle - Web Traffic Time Series Forecasting
  ☆34Updated 6 years ago
• wanglei5205 / Machine_learning
  机器学习算法的实现和应用
  ☆73Updated 7 years ago
• chenkkkk / User-loan-risk-prediction
  马上AI全球挑战者大赛 rank 1st
  ☆257Updated 7 years ago
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆659Updated 3 years ago
• lisette-espin / pychimerge
  ChiMerge: Discretization of Numeric Attributes
  ☆41Updated 9 years ago
• yaoxuefeng6 / Paddle_baseline_KDD2019
  PaddlePaddle baseline for KDD2019 "Context-Aware Multi-Modal Transportation Recommendation"
  ☆52Updated 6 years ago
• TianFengshou / hyperopt-doc-zh
  Github开源项目hyperopt系列的中文文档,以及学习教程等
  ☆163Updated 5 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
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆155Updated 7 years ago
• KazukiOnodera / Santander-Customer-Transaction-Prediction
  2nd Place Solution 💰🥈
  ☆163Updated 2 years ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated 3 years ago
• Dojocat-GO / Tencent2017_Final_Rank28_code
  2017第一届腾讯社交广告高校算法大赛Rank28_code
  ☆85Updated 8 years ago
• drop-out / RNN-Active-User-Forecast
  1st place solution for the Kuaishou Active-user Forecast competition
  ☆192Updated 6 years ago