Alternatives and similar repositories for h2o-meetups:

Users that are interested in h2o-meetups are comparing it to the libraries listed below

• h2oai / h2o-tutorials
  Tutorials and training material for the H2O Machine Learning Platform
  ☆1,494Updated 5 months ago
• ledell / useR-machine-learning-tutorial
  useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
  ☆401Updated 7 years ago
• Laurae2 / Laurae
  Advanced High Performance Data Science Toolbox for R by Laurae
  ☆205Updated 8 years ago
• Keiku / kaggle-airbnb-recruiting-new-user-bookings
  2nd Place Solution in Kaggle Airbnb New User Bookings competition
  ☆128Updated 8 years ago
• h2oai / deepwater
  Deep Learning in H2O using Native GPU Backends
  ☆282Updated 7 years ago
• h2oai / awesome-h2o
  A curated list of research, applications and projects built using the H2O Machine Learning platform
  ☆380Updated last year
• zachmayer / caretEnsemble
  caret models all the way down
  ☆226Updated last month
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆500Updated 7 years ago
• szilard / GBM-perf
  Performance of various open source GBM implementations
  ☆217Updated 10 months ago
• topepo / FES
  Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
  ☆732Updated last year
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆238Updated 10 months ago
• DarrenCook / h2o
  For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)
  ☆90Updated 7 years ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆256Updated 6 years ago
• topepo / APM_Exercises
  Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
  ☆196Updated 8 years ago
• davidthaler / Walmart_competition_code
  This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.
  ☆136Updated 7 years ago
• trevorstephens / titanic
  Getting Started With R
  ☆234Updated 11 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆488Updated 4 years ago
• jeongyoonlee / data-science-process-management
  Resources for Data Science Process management
  ☆204Updated 5 years ago
• szilard / teach-data-science-UCLA-master-appl-stats
  Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
  ☆135Updated 7 years ago
• wehrley / wehrley.github.io
  ☆159Updated 8 years ago
• brandenkmurray / kaggle
  Code used in Kaggle competitions
  ☆23Updated 7 years ago
• ben519 / MLPB
  Machine Learning Problem Bible | Problem Set Here >>
  ☆714Updated 5 years ago
• Azure / Azure-TDSP-Utilities
  Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
  ☆374Updated 6 years ago
• ben519 / DataWrangling
  The ultimate reference guide to data wrangling with Python and R
  ☆240Updated 3 years ago
• Azure / Microsoft-TDSP
  Repository for Microsoft Team Data Science Process containing documents and scripts
  ☆276Updated 7 years ago
• ellisp / forecastxgb-r-package
  An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes
  ☆140Updated 7 years ago
• ttvand / Facebook-V
  Cleaned code of the winning submission of the Kaggle Recruiting Competition
  ☆123Updated 5 years ago
• WinVector / vtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆285Updated 3 months ago
• thomasp85 / lime
  Local Interpretable Model-Agnostic Explanations (R port of original Python package)
  ☆484Updated 2 years ago
• jadianes / spark-r-notebooks
  R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
  ☆121Updated 7 years ago