Alternatives and similar repositories for axa

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

• ledell / h2oEnsemble-benchmarks
  Benchmarks of the H2O Ensemble R interface (H2O 2.0).
  ☆14Updated 4 years ago
• brandenkmurray / kaggle
  Code used in Kaggle competitions
  ☆23Updated 7 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• mlandry22 / kaggle
  Public Kaggle Code and Info
  ☆43Updated 9 years ago
• johnmyleswhite / r_recommendation_system
  Data and code for the Dataists R recommendation system contest
  ☆75Updated 14 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• cmmalone / malone_OpenDataSciCon
  repository for code related to the end-to-end data analysis in python workshop, from the Open Data Science Conference 2015
  ☆15Updated 9 years ago
• mpearmain / scikit-wrapRs
  ☆13Updated 8 years ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 7 years ago
• amunategui / SimpleEnsembleBlending
  Ensemble/Blender example in R using Caret (companion code for YouTube video: https://www.youtube.com/watch?v=k7sTiTWWCXM)
  ☆11Updated 10 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• ChenglongChen / Kaggle_Loan_Default_Prediction
  R code for Kaggle's Loan Default Prediction - Imperial College London challenge
  ☆22Updated 11 years ago
• ivanliu1989 / Driver-Telematics-Analysis
  ☆13Updated 6 years ago
• abhishekkrthakur / walmart2015
  ☆26Updated 9 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 8 years ago
• pprett / pydata-gbrt-tutorial
  IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
  ☆63Updated 7 years ago
• szilard / GBM-tune
  Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
  ☆21Updated 7 years ago
• szilard / ML-scoring
  Compare the scoring speed of several open source machine learning libraries.
  ☆20Updated 8 years ago
• ChenglongChen / Kaggle_Walmart-Recruiting-Store-Sales-Forecasting
  R code for Kaggle's Walmart Recruiting - Store Sales Forecasting
  ☆44Updated 11 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 8 years ago
• andreiolariu / kaggle-driver-telematics
  AXA Driver Telematics Challenge on Kaggle.com
  ☆51Updated 7 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 2 years ago
• mds47 / time-series-workshop
  ☆31Updated 6 years ago
• WinVector / ExploreModels
  Code and data for "The Geometry of Classifiers"
  ☆26Updated 5 years ago
• andland / libFMexe
  libFM R package
  ☆26Updated 8 years ago
• robjhyndman / MEFM-package
  R package to implement the MEFM
  ☆55Updated last year
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago