Machine Learning with H2O Flow

Overview

Title:

Machine Learning with H2O Flow

Description:

Dive into the world of machine learning without the need to write code with our hands-on project, Machine Learning with H2O Flow. This dynamic course provides a guided tour of H2O Flow, a web-based, user-friendly interface that facilitates the training and evaluation of machine learning models using H2O's AutoML.

Throughout this project, participants will tackle a business analytics challenge by employing state-of-the-art machine learning techniques in a point-and-click environment.

H2O is a renowned open-source platform in the realms of machine learning and artificial intelligence, widely adopted by data scientists and professionals in the field. It supports multiple programming languages including R, Python, and Scala and features AutoML, which simplifies the model training process by automatically handling the training and tuning of various models.

This allows users to devote more attention to critical areas such as data preprocessing, feature engineering, and model deployment.

Participants are encouraged to have a basic understanding of machine learning concepts and experience in training models, to extract maximum benefit from the course. Please note that this offering is optimized for learners residing in North America, with plans to expand accessibility to other regions soon.

University:

Not specified
Provider:

Coursera
Categories:

Machine Learning Courses, AutoML Courses

Taught by

Snehan Kekre

Subjects