Awesome H2O

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Below is a curated list of all the awesome projects, applications, research, tutorials, courses and books that use H2O, an open source, distributed machine learning platform. H2O offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).

H2O.ai produces many tutorials, blog posts, presentations and videos about H2O, but the list below is comprised of awesome content produced by the greater H2O user community.

We are just getting started with this list, so pull requests are very much appreciated! 🙏 Please review the contribution guidelines before making a pull request. If you're not a GitHub user and want to make a contribution, please send an email to community@h2o.ai.

If you think H2O is awesome too, please ⭐ the H2O GitHub repository.

Contents

• Blog Posts & Tutorials
• Books
• Research Papers
• Benchmarks
• Presentations
• Courses
• Software (built using H2O)
• License

Blog Posts & Tutorials

• Using H2O AutoML to simplify training process (and also predict wine quality) Aug 4, 2020
• Visualizing ML Models with LIME
• Parallel Grid Search in H2O Jan 17, 2020
• Importing, Inspecting and Scoring with MOJO models inside H2O Dec 10, 2019
• Artificial Intelligence Made Easy with H2O.ai: A Comprehensive Guide to Modeling with H2O.ai and AutoML in Python June 12, 2019
• Anomaly Detection With Isolation Forests Using H2O Dec 03, 2018
• Predicting residential property prices in Bratislava using recipes - H2O Machine learning Nov 25, 2018
• Inspecting Decision Trees in H2O Nov 07, 2018
• Gentle Introduction to AutoML from H2O.ai Sep 13, 2018
• Machine Learning With H2O — Hands-On Guide for Data Scientists Jun 27, 2018
• Using machine learning with LIME to understand employee churn June 25, 2018
• Analytics at Scale: h2o, Apache Spark and R on AWS EMR June 21, 2018
• Automated and unmysterious machine learning in cancer detection Nov 7, 2017
• Time series machine learning with h2o+timetk Oct 28, 2017
• Sales Analytics: How to use machine learning to predict and optimize product backorders Oct 16, 2017
• HR Analytics: Using machine learning to predict employee turnover Sep 18, 2017
• Autoencoders and anomaly detection with machine learning in fraud analytics May 1, 2017
• Building deep neural nets with h2o and rsparkling that predict arrhythmia of the heart Feb 27, 2017
• Predicting food preferences with sparklyr (machine learning) Feb 19, 2017
• Moving largish data from R to H2O - spam detection with Enron emails Feb 18, 2016
• Deep learning & parameter tuning with mxnet, h2o package in R Jan 30, 2017

Books

• Big data in psychiatry and neurology, Chapter 11: A scalable medication intake monitoring system Diane Myung-Kyung Woodbridge and Kevin Bengtson Wong. (2021)
• Hands on Time Series with R Rami Krispin. (2019)
• Mastering Machine Learning with Spark 2.x Alex Tellez, Max Pumperla, Michal Malohlava. (2017)
• Machine Learning Using R Karthik Ramasubramanian, Abhishek Singh. (2016)
• Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI Darren Cook. (2016)
• Disruptive Analytics Thomas Dinsmore. (2016)
• Computer Age Statistical Inference: Algorithms, Evidence, and Data Science Bradley Efron, Trevor Hastie. (2016)
• R Deep Learning Essentials Joshua F. Wiley. (2016)
• Spark in Action Petar Zečević, Marko Bonaći. (2016)
• Handbook of Big Data Peter Bühlmann, Petros Drineas, Michael Kane, Mark J. van der Laan (2015)

Research Papers

• Automated machine learning: AI-driven decision making in business analytics Marc Schmitt. (2023)
• Water-Quality Prediction Based on H2O AutoML and Explainable AI Techniques Hamza Ahmad Madni, Muhammad Umer, Abid Ishaq, Nihal Abuzinadah, Oumaima Saidani, Shtwai Alsubai, Monia Hamdi, Imran Ashraf. (2023)
• Which model to choose? Performance comparison of statistical and machine learning models in predicting PM2.5 from high-resolution satellite aerosol optical depth Padmavati Kulkarnia, V.Sreekantha, Adithi R.Upadhyab, Hrishikesh ChandraGautama. (2022)
• Prospective validation of a transcriptomic severity classifier among patients with suspected acute infection and sepsis in the emergency department Noa Galtung, Eva Diehl-Wiesenecker, Dana Lehmann, Natallia Markmann, Wilma H Bergström, James Wacker, Oliver Liesenfeld, Michael Mayhew, Ljubomir Buturovic, Roland Luethy, Timothy E Sweeney , Rudolf Tauber, Kai Kappert, Rajan Somasundaram, Wolfgang Bauer. (2022)
• Depression Level Prediction in People with Parkinson’s Disease during the COVID-19 Pandemic) Hashneet Kaur, Patrick Ka-Cheong Poon, Sophie Yuefei Wang, Diane Myung-kyung Woodbridge. (2021)
• Machine Learning-based Meal Detection Using Continuous Glucose Monitoring on Healthy Participants: An Objective Measure of Participant Compliance to Protocol Victor Palacios, Diane Myung-kyung Woodbridge, Jean L. Fry. (2021)
• Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth Alex Luna, Joel Bernanke, Kakyeong Kim, Natalie Aw, Jordan D. Dworkin, Jiook Cha, Jonathan Posner (2021).
• Appendectomy during the COVID-19 pandemic in Italy: a multicenter ambispective cohort study by the Italian Society of Endoscopic Surgery and new technologies (the CRAC study) Alberto Sartori, Mauro Podda, Emanuele Botteri, Roberto Passera, Ferdinando Agresta, Alberto Arezzo. (2021)
• Forecasting Canadian GDP Growth with Machine Learning Shafiullah Qureshi, Ba Chu, Fanny S. Demers. (2021)
• Morphological traits of reef corals predict extinction risk but not conservation status Nussaïbah B. Raja, Andreas Lauchstedt, John M. Pandolfi, Sun W. Kim, Ann F. Budd, Wolfgang Kiessling. (2021)
• Machine Learning as a Tool for Improved Housing Price Prediction Henrik I W. Wolstad and Didrik Dewan. (2020)
• [Citizen Science Data Show Temperature-Driven Declines in Riverine Sentinel Invertebrates](https