In this 1-hour long project-based course, you will learn how to predict medical insurance cost with machine learning. The objective of this case study is to predict the health insurance cost incurred by Individuals based on their age, gender, Body Mass Index (BMI), number of children, smoking habits, and geo-location.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Overview
Syllabus
- Project Overview
- In this project-based course, we will build, train and test a machine learning model to predict insurance cost based on customer features such as age, gender, Body Mass Index (BMI), number of children, smoking habits, and geo-location. This guided project is practical and directly applicable to the insurance industry.
Taught by
Ryan Ahmed
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