Introduction to H2O Tutorials
H2O Tutorials is a comprehensive repository designed to offer tutorials and training materials for the H2O-3 software. This open-source project is a valuable resource for both beginners and seasoned data scientists interested in learning about H2O, particularly how to utilize it for various data science tasks. Users encountering issues with any tutorial can report them by opening an issue on the repository. For broader questions about H2O, the community encourages discussions on Stack Overflow using the "h2o" tag, or by joining the H2O Stream Google Group for topics not suitable for Stack Overflow formats.
Navigating the GitHub Repository
The H2O Tutorials repository hosts a wide range of tutorials on diverse subjects. Here, he will find tutorials catered to both R and Python programming languages that can guide users in harnessing the power of H2O.
R Tutorials
For those working in R, several key topics are covered:
- Intro to H2O in R: This tutorial provides a beginner-friendly introduction to H2O within the R environment.
- H2O Grid Search & Model Selection: Learn how to implement grid searches and select appropriate models in R.
- H2O Deep Learning in R: Detailed guidance on applying deep learning algorithms using R.
- H2O Stacked Ensembles: Discover how to combine multiple models to improve predictive performance.
- H2O AutoML in R: An introduction to automating machine learning tasks to optimize model selection and tuning.
- LatinR 2019 H2O Tutorial: Offers a broad overview of previously mentioned topics, encapsulating extensive training in H2O.
Python Tutorials
Python developers can explore the following tutorials:
- Intro to H2O in Python: A foundational tutorial covering the basics of using H2O with Python.
- H2O Grid Search & Model Selection in Python: This focuses on the grid search technique and model selection in Python.
- H2O Stacked Ensembles in Python: Learn how to increase your model's accuracy by stacking multiple models.
- H2O AutoML in Python: Guide to using AutoML in Python, enabling automatic model selection and tuning.
Accessing the Latest and Historical Materials
The master branch in the repository is consistently updated to ensure compatibility with the most recent stable version of H2O. Users can find up-to-date training materials and the latest H2O release via the repository's links.
For users interested in previous events, H2O Tutorials offers historical versions tied to specific events:
- H2O World 2017 Training: Materials and associated H2O releases, such as the Wheeler-2 version, can be accessed.
- H2O World 2015 Training: Includes materials and H2O Tibshirani-3 release information.
Installation Requirements
To get started with the Python tutorials, users may need to install various modules. This can typically be achieved using the following commands:
# Install for current user
pip install -r requirements.txt
# Or, for root user
sudo -E pip install -r requirements.txt
In environments restricted by corporate proxies, users might need to configure https_proxy variables appropriately:
# If behind a corporate proxy
export https_proxy=https://<user>:<password>@<proxy_server>:<proxy_port>
# Install for current user
pip install -r requirements.txt
# Or, for root user
sudo -E pip install -r requirements.txt
By following these pointers, users should be able to efficiently navigate and utilize the H2O Tutorials material for both current and historical H2O software versions.