Automatic Machine Learning with H2O AutoML and Python
This is a hands-on, guided project on Automatic Machine Learning with H2O AutoML and Python. By the end of this project, you will be able to describe what AutoML is and apply automatic machine learning to a business analytics problem with the H2O AutoML interface in Python. H2O's AutoML automates the process of training and tuning a large selection of models, allowing the user to focus on other aspects of the data science and machine learning pipeline such as data pre-processing, feature engineering and model deployment. To successfully complete the project, we recommend that you have prior experience in Python programming, basic machine learning theory, and have trained ML models with a library such as scikit-learn. We will not be exploring how any particular model works nor dive into the math behind them. Instead, we assume you have this foundational knowledge and want to learn to use H2O's AutoML interface for automatic machine learning. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
由 KA 提供2020年8月8日
A very good guided project. Understood everything.
由 MB 提供2020年8月28日
Introductory stuff. But concise and useful as an introduction.
由 A 提供2020年6月24日
This course is really very helpful and informative too. I had learned many things from this course. I would like to thank Coursera for this informative course.
由 SP 提供2020年8月24日
Very Recomended for knowledge foundation about H2O ML, THank you !