- Level Foundation
- المدة 2 ساعات hours
- الطبع بواسطة Coursera Project Network
-
Offered by
عن
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.الوحدات
Your Learning Journey
1
Assignment
- Assess Your Knowledge
1
Labs
- Medical Insurance Premium Prediction with Machine Learning
1
Readings
- Project Overview
Auto Summary
Dive into the fascinating world of predictive analytics with the "Medical Insurance Premium Prediction with Machine Learning" course, designed to introduce you to the fundamentals of data science and artificial intelligence. This beginner-friendly, project-based learning experience is perfect for those looking to understand how to forecast health insurance costs using machine learning techniques. Guided by expert instructors from Coursera, this 1-hour course equips you with the skills to analyze and predict insurance premiums based on various factors such as age, gender, Body Mass Index (BMI), number of children, smoking habits, and geographic location. Ideal for learners in North America, this course aims to provide a comprehensive learning experience that will soon be expanded to other regions. Best of all, it's available for free, making it an accessible option for anyone eager to start their journey in data science and AI. Whether you're a complete novice or looking to refresh your skills, this course offers valuable insights and practical knowledge to help you predict medical insurance costs with confidence.

Ryan Ahmed