Health Insurance Cost Predictor

This repository contains a deep learning regression model.

Project Overview

The goal of this exercise was to build and train a neural network capable of predicting healthcare costs based on patient data (such as age, sex, BMI, and smoking status). It demonstrates the practical implementation of data preprocessing, feature normalization, and regression using TensorFlow.

Files in this Repository

• fcc_predict_health_costs_with_regression.ipynb: The Google Colab notebook containing the data exploration, model training, and evaluation steps required to pass the certification testing script.
• health_insurance_predictor.keras: The fully trained regression model exported in the native Keras format.

Technology Stack

• Python
• TensorFlow / Keras
• Pandas & Matplotlib