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课程概述
This is a hands-on, guided project on Predictive Analytics for Business with H2O in R. By the end of this project, you will be able apply machine learning and predictive analytics to solve a business problem, explain and describe automatic machine learning, perform automatic machine learning (AutoML) with H2O in R. We will take a data-driven approach to predict the success of bank telemarketing.
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 with programming in R, basic machine learning theory, and have trained ML models in R. 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 in R for predictive analytics.
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.
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1 - Predictive Analytics for Business with H2O in R 的 7 个评论（共 7 个）
创建者 Khandaker M A
•Aug 7, 2020
创建者 Joon S
•Jul 24, 2020
创建者 Maurice K O
•Aug 5, 2020
创建者 Neethumol J
•Oct 4, 2020
创建者 Cherry I T
•Jul 4, 2020
创建者 Cheikh B
•Nov 19, 2020
创建者 Bruno T A H
•Nov 1, 2020
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