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In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.
H2O open source library is embraced by 14,000 organizations across the globe and thousands of data scientists are already using it for mission-critical use cases in Insurance, Retail, Telecom, Healthcare, Finance, Sales , and Marketing. H2O has gained popularity as it makes it easy to apply machine learning and predictive analytics to most challenging business use-cases. Unlike other analytic tools, H2O combines extraordinary math and high performance parallel computing with ease of use. The support for an array of data science programming languages like Python, R, Scala, and Java makes it a powerful machine learning tool and mastering it a necessity. DeZyre’s machine learning projects using H2o.ai will serve as a great resource in acquiring the most in-demand skills.
Get starting installing and running H2O on your system.
Learn all the core techniques required to make the effective use of H2o.ai
Build machine learning models using diverse machine learning algorithms such as linear models, classification, deep learning, random forests, and more.