Medical Costs Predictive Analysis (Machine Learning)
Jonathan Phillip
Project Summary:
The purpose of this project was to perform a multiple linear regression analysis on a dataset centered around medical costs. The endgame was to build a model that can accurately predict charge costs based on certain attributes (age, sex, smoking status, region, etc.). EDA and pre-processing take place first to refine dataset in preparation for the analysis, which helps to deliver the most accurate regression model possible for the analysis. Find link here.
Like this project
Posted Oct 25, 2024
Regression analysis using medical costs dataset. Meant to construct a model that can efficiently and accurately project medical costs based on various factors.
