Retour à Predictive Analytics for Business with H2O in R
Avis et commentaires pour d'étudiants pour Predictive Analytics for Business with H2O in R par Coursera Project Network
48 évaluations
À propos du cours
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.
Meilleurs avis
Filtrer par :
1 - 7 sur 7 Avis pour Predictive Analytics for Business with H2O in R
par Khandaker M A
•7 août 2020
par Joon S
•24 juil. 2020
par Maurice K O
•5 août 2020
par Neethumol J
•4 oct. 2020
par Cherry I T
•4 juil. 2020
par Cheikh B
•19 nov. 2020
par Bruno T A H
•1 nov. 2020
Coursera Footer
© 2022 Coursera Inc. Tous droits réservés.
