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Predictive Analytics for Business with H2O in R(으)로 돌아가기

Coursera Project Network의 Predictive Analytics for Business with H2O in R 학습자 리뷰 및 피드백

4.9
별점
49개의 평가

강좌 소개

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....

최상위 리뷰

필터링 기준:

Predictive Analytics for Business with H2O in R의 7개 리뷰 중 1~7

교육 기관: Khandaker M A

2020년 8월 7일

교육 기관: Joon S

2020년 7월 24일

교육 기관: Maurice K O

2020년 8월 5일

교육 기관: Neethumol J

2020년 10월 4일

교육 기관: Cherry I T

2020년 7월 4일

교육 기관: Cheikh B

2020년 11월 19일

교육 기관: Bruno T A H

2020년 11월 1일