Alternatives and similar repositories for awesome-h2o

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

• h2oai / h2o-meetups
  Presentations from H2O meetups & conferences by the H2O.ai team
  ☆410Updated 2 years ago
• h2oai / tutorials
  This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…
  ☆134Updated 11 months ago
• mstaniak / autoEDA-resources
  A list of software and papers related to automatic and fast Exploratory Data Analysis
  ☆430Updated 2 months ago
• jeongyoonlee / data-science-process-management
  Resources for Data Science Process management
  ☆204Updated 5 years ago
• h2oai / driverlessai-recipes
  Recipes for Driverless AI
  ☆249Updated last week
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆489Updated 4 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆239Updated last month
• 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
  ☆137Updated 8 years ago
• h2oai / h2o-tutorials
  Tutorials and training material for the H2O Machine Learning Platform
  ☆1,494Updated 8 months ago
• jadianes / spark-r-notebooks
  R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
  ☆122Updated 7 years ago
• Azure / Azure-TDSP-Utilities
  Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
  ☆375Updated 6 years ago
• brohrer / academic_advisory
  Collected opinions and advice for academic programs focused on data science skills.
  ☆443Updated 5 years 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
• pmaji / data-science-toolkit
  Collection of stats, modeling, and data science tools in Python and R.
  ☆219Updated 4 months ago
• h2oai / h2o4gpu
  H2Oai GPU Edition
  ☆467Updated 8 months ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆255Updated 7 years ago
• pablo14 / data-science-live-book
  An open source book to learn data science, data analysis and machine learning, suitable for all ages!
  ☆223Updated last year
• h2oai / h2o-flow
  Web based interactive computing environment for H2O
  ☆139Updated 8 months ago
• FrankPortman / bayesAB
  🐢 bayesAB: Fast Bayesian Methods for A/B Testing
  ☆315Updated 4 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆681Updated last year
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• RamiKrispin / MLstudio
  The ML Studio Package
  ☆70Updated 7 years ago
• topepo / FES
  Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
  ☆737Updated last year
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆608Updated 4 years ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆98Updated 7 years ago
• ledell / useR-machine-learning-tutorial
  useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
  ☆402Updated 7 years ago
• dvgodoy / handyspark
  HandySpark - bringing pandas-like capabilities to Spark dataframes
  ☆194Updated 6 years ago
• openml / OpenML
  Open Machine Learning
  ☆697Updated 2 weeks ago
• business-science / anomalize
  Tidy anomaly detection
  ☆338Updated last year