Automatic Machine Learning with H2O AutoML and Python
6,428명이 이미 등록했습니다.
6,428명이 이미 등록했습니다.
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.
작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.
작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.
분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.
KA 제공2020년 8월 8일
A very good guided project. Understood everything.
SP 제공2020년 8월 24일
Very Recomended for knowledge foundation about H2O ML, THank you !
A 제공2020년 6월 24일
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.
TS 제공2021년 2월 4일
The idea of being able to learn a skill in 2-3 hrs is pretty exciting to me. This instructor is excellent. Every step in this project was well explained and there was a nice flow.