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.

Understand the Problem Statement

Import Libraries and Datasets

Perform Exploratory Data Analysis

Perform Feature Engineering

Perform Data Visualization

Create Training and Testing Datasets

Train and Evaluate a Linear Regression Model in Sk-Learn

Train and Evaluate an Artificial Neural Network Regression Model