Solved end-to-end Data Science and Big Data projects

Solving Multiple Classification use cases Using H2O

In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

Anomaly Detection Using Deep Learning and Autoencoders

Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.

Predict Census Income using Deep Learning Models

In this project, we are going to work on Deep Learning using H2O to predict Census income.

Machine Learning Projects with H2o and R

Why you should work on DeZyre's H2o R Projects ?

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.

Who should work on DeZyre’s Machine learning Projects using H20.ai ?

• Beginners and students who want to master a novel open-source machine learning platform.
• Data scientists, engineers and analysts who want to work with a really fast open source machine learning should work on these projects.

Key Learnings from DeZyre’s H2O R Machine Learning Projects

• 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.

• Learn to evaluate your developed machine learning models to choose the one that best fits your data.

What will you get when you enrol for DeZyre’s H2O.ai R Mini Projects?

• H2O.ai R Project Source Code -Examine and implement end-to-end real-world interesting and simple machine learning project suggestions.
• Recorded Demo – Watch a video explanation on how to execute the project.
• Mentor Support – Get your technical questions answered with mentorship from experienced data scientists for a minimal fee. Just in case you are stuck working on any of these machine learning projects using H2O.ai, our industry experts will be happy to guide you through the projects. This can be availed by opting for the mentorship track for each project where you can post your queries to the instructor and have a healthy discussion on the same.
• Complete Project Solution Kit – Get access to the dataset, solution, and supporting reference material, if any , for every machine learning project.