h2oai / h2o-tutorialsLinks
Tutorials and training material for the H2O Machine Learning Platform
☆1,498Updated last year
Alternatives and similar repositories for h2o-tutorials
Users that are interested in h2o-tutorials are comparing it to the libraries listed below
Sorting:
- Presentations from H2O meetups & conferences by the H2O.ai team☆410Updated 2 years ago
- MLBox is a powerful Automated Machine Learning python library.☆1,521Updated 2 years ago
- Machine Learning Problem Bible | Problem Set Here >>☆714Updated 5 years ago
- Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson☆743Updated last year
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,321Updated this week
- A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2…☆1,888Updated 3 years ago
- H2O.ai Machine Learning Interpretability Resources☆489Updated 4 years ago
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,654Updated 4 years ago
- A curated list of research, applications and projects built using the H2O Machine Learning platform☆386Updated 2 years ago
- Automated feature engineering in Python with Featuretools☆520Updated 6 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆502Updated 2 years ago
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,330Updated 7 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆615Updated 4 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆680Updated last year
- H2Oai GPU Edition☆470Updated last year
- Sparkling Water provides H2O functionality inside Spark cluster☆976Updated 2 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 6 months ago
- Auto-WEKA☆334Updated 3 years ago
- useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html☆399Updated 7 years ago
- Deep Learning in H2O using Native GPU Backends☆283Updated 7 years ago
- caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regres…☆1,662Updated 10 months ago
- Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018☆1,472Updated 5 years ago
- ☆759Updated 2 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆418Updated last year
- XGBoost Feature Interactions & Importance☆502Updated 7 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 4 months ago
- Feature exploration for supervised learning☆762Updated 4 years ago
- Speedml Python Notebooks☆130Updated 8 years ago
- Machine Learning in R☆1,668Updated 2 months ago
- Hyper-parameter optimization for sklearn☆1,646Updated 6 months ago