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Predicting Life Expectancy with ML by Jyothi Burla is a document available to read on EtoBox.

The document describes a project to predict life expectancy using machine learning. It involves collecting data on factors like GDP, education, healthcare spending, and diseases for countries. A random forest regression model is trained using this data to predict life expectancy given new values of the factors. The model achieves reasonably accurate predictions and can help with healthcare planning by anticipating needs. It is deployed on IBM Cloud for public use. Further improvements could incorporate more

Author
Jyothi Burla
Language
EN