Chevron Left
Volver a Predictive Analytics for Business with H2O in R

Opiniones y comentarios de aprendices correspondientes a Predictive Analytics for Business with H2O in R por parte de Coursera Project Network

4.9
estrellas
49 calificaciones

Acerca del Curso

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....

Principales reseñas

Filtrar por:

1 - 7 de 7 revisiones para Predictive Analytics for Business with H2O in R

por Khandaker M A

7 de ago. de 2020

por Joon S

24 de jul. de 2020

por Maurice K O

5 de ago. de 2020

por Neethumol J

4 de oct. de 2020

por Cherry I T

4 de jul. de 2020

por Cheikh B

19 de nov. de 2020

por Bruno T A H

1 de nov. de 2020