Automatic Machine Learning with H2O AutoML and Python
Explain and describe automatic machine learning (AutoML)
Perform automatic machine learning with H2O AutoML and Python
Solve a business analytics problem with AutoML
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.
Habilidades que desarrollarás
Aprende paso a paso
En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:
Introduction and Project Overview
Getting to Know Rhyme and the Marketing Data
Load the Data
Data Preprocessing & Start H2O
Run H2O AutoML
AutoML Leaderboard and Ensemble Exploration
Base Learner Exploration
Cómo funcionan los proyectos guiados
Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.
En un video de pantalla dividida, tu instructor te guía paso a paso
Reseñas
Principales reseñas sobre AUTOMATIC MACHINE LEARNING WITH H2O AUTOML AND PYTHON
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.
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.
Very Recomended for knowledge foundation about H2O ML, THank you !
Introductory stuff. But concise and useful as an introduction.
Preguntas Frecuentes
Preguntas Frecuentes
¿Qué obtendré si compro un Proyecto guiado?
¿Hay Proyectos guiados disponibles para computadoras de escritorio y dispositivos móviles?
¿Quiénes son los instructores de Proyectos guiados?
¿Puedo descargar el trabajo de mi Proyecto guiado después de completarlo?
¿Cuál es la política de reembolsos?
¿Hay ayuda económica disponible?
¿Puedo participar como oyente de un Proyecto guiado y mirar el video de forma gratuita?
¿Cuánta experiencia preciso tener para este Proyecto guiado?
¿Puedo completar este Proyecto guiado directamente utilizando mi navegador web, en lugar de instalar un software especial?
¿Cómo es la experiencia de aprendizaje con los Proyectos guiados?
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