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学生对 Coursera Project Network 提供的 Automatic Machine Learning with H2O AutoML and Python 的评价和反馈

46 个评分
8 条评论


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....



1 - Automatic Machine Learning with H2O AutoML and Python 的 8 个评论(共 8 个)

创建者 Amrita B

Jun 25, 2020

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.

创建者 Javier F B

Jun 23, 2020

Excellent project.

创建者 Doss D

Jul 02, 2020

Thank you

创建者 tale p

Jun 28, 2020


创建者 sarithanakkala

Jun 25, 2020


创建者 p s

Jun 24, 2020


创建者 sivaguru m

Jun 21, 2020


创建者 Hassan A

Jun 26, 2020

it was good.