Medical personal cost forecast

This project use to predict insurance medical cost based on different variable, using linear regression technique this project are build for predict cost based on different variable

Install

This project requires Python and the following Python libraries installed:

• NumPy
• Pandas
• scikit-learn
• streamlit

Usage

first, you can clone this git repository

git clone https://github.com/HillalXD/Medical-Personal-Cost.git

then navigate your command to this directory

cd Medical-Personal-Cost

after that run app.py to use streamlit app

streamlit run app.py

Code

• Template code is provided in the linear.ipynb notebook file.
• insurance.csv is provide data source for training model
• app.py is streamlit web application to user input features for model predicting insurance personal cost

Dataset features

for doing prediction you need to input this features:

features	explanation
age	user age
sex	user gender
BMI	user BMI number
children	user total child
smoker	is user smoker or not
region	user region