Medical Cost Predictor
This is my first ever project in data science :)
The aim of the project is to create a model which predicts the medical cost that can be charged by health insurance company based on a person's sex, age, bmi, Number of children/dependants, region of residence, and smoking habits.
The source of the dataset used in this analysis is Kaggle (https://www.kaggle.com/mirichoi0218/insurance).
The Exploratory Data Analysis of the dataset and the results/accuracy of the model are provided in this jupyter notebook file.
The outcome of the project was a web application where the data can be entered and a prediction of the medical cost is displayed.
The screenshot the web application is attached below:
Page 1: To enter the input data
Page 2: Displays the predicted cost
Feel free to checkout the code in the github repository: