Machine Learning with H2O Flow

5.0 /5

(2 Ratings)

Offered byCoursera
Public/Government Institute

Machine Learning with H2O Flow
at
Coursera
Overview

Train and evaluate machine learning models with H2O Flow and AutoML, without writing a single line of code

Duration	2 hours
Total fee	₹729
Mode of learning	Online
Schedule type	Self paced
Difficulty level	Intermediate
Credential	Certificate

Machine Learning with H2O Flow

Table of contents

Overview
Highlights
Course Details
Curriculum
Faculty
+ 2 more items

Machine Learning with H2O Flow
at
Coursera
Highlights

Get all learning materials, including the interactive workspace and final quiz
Get instant access to the necessary software packages through Rhyme
A split-screen video walkthrough of each step, from a subject-matter expert
Ability to access your cloud desktop across six different sessions

Machine Learning with H2O Flow
at
Coursera
Course details

Skills you will learn

Business Analytics Python R Scala Data Science

Who should do this course?

For learners who are based in the North America region

What are the course deliverables?

Train and evaluate machine learning models with H2O Flow
Solve a business analytics problem using machine learning with Flow and AutoML

More about this course

Students will use the point and click, web-based interface to H2O called Flow to solve a business analytics problem with machine learning.
H2O is a leading open-source machine learning and artificial intelligence platform trusted by data scientists and machine learning practitioners
It has APIs available in R, Python, Scala, and also a web-based point and click interface called Flow
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 pipelines such as data pre-processing, feature engineering, and model deployment.

Machine Learning with H2O Flow
at
Coursera
Curriculum

Introduction and Project Overview

Importing and Parsing Data

Creating Training and Test Splits

Build and Evaluate a GLM

Run H2O AutoML with Flow

View Leaderboard and Model Exploration

Machine Learning with H2O Flow
at
Coursera
Faculty details

Snehan Kekre

Snehan Kekre is a Documentation Writer at Streamlit, the fastest and easiest way to build and share data apps. He has authored and taught over 40+ guided projects on machine learning and data science at Coursera. He has also worked as a skills consultant at Coursera, and as content strategist at Rhyme.com.