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...
☆131Updated 7 months ago
Alternatives and similar repositories for tutorials:
Users that are interested in tutorials are comparing it to the libraries listed below
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 4 months ago
- Recipes for Driverless AI☆245Updated this week
- A curated list of research, applications and projects built using the H2O Machine Learning platform☆379Updated last year
- Capturing model drift and handling its response - Example webinar☆107Updated 5 years ago
- Practical ideas on securing machine learning models☆36Updated 3 years ago
- ☆13Updated 2 years ago
- Tutorial of machine learning model validation☆15Updated last year
- ☆154Updated 4 years ago
- Workshop materials for ODSC 2019 Interpretability Talk☆25Updated 4 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 5 years ago
- Tutorial given at PyData LA 2018☆97Updated 6 months ago
- Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…☆36Updated 4 years ago
- For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)☆90Updated 7 years ago
- ☆40Updated 7 years ago
- Data Analysis Baseline Library☆131Updated 4 months ago
- Materials (code & data) for the ODSC East 2020 Virtual Conference workshop: 'Building Data Narratives: An End-to-End Machine Learning Pra…☆11Updated 4 years ago
- MLFlow Spark Summit 2019 Presentation☆67Updated 5 years ago
- H2O.ai Machine Learning Interpretability Resources☆487Updated 4 years ago
- Sample AI Apps built with H2O Wave.☆152Updated 4 months ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆38Updated 3 years ago
- Matt Brems' Missing Data Workshop☆82Updated 2 years ago
- Sample Notebooks for PipelineAI☆44Updated 2 years ago
- ☆35Updated last month
- PyCaret demo presented on June 1, 2020☆12Updated 4 years ago
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…☆169Updated last year
- Code for the book Analytical Skills for AI and Data Science☆48Updated 4 years ago
- Presentations from H2O meetups & conferences by the H2O.ai team☆410Updated last year
- ☆101Updated last year
- Materials for GWU DNSC 6279 and DNSC 6290.☆235Updated 8 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆672Updated 8 months ago