Each project comes with 2-5 hours of micro-videos explaining the solution.
Get access to 102+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.
Use the Adult Income dataset to predict whether income exceeds 50K yr based on census data.
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. ProjectPro’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.