Table of Contents
Project has a aim of predicting the insurance amount of the people according to their age, sex, bmi, smoker or not, child number and region status.
First, you need to have some libraries and packages to run the app. You should install them on your cmd.
pip install -r requirements.txtImport the .csv file to use dataset
insurance.csv- Exploratory Data Analysis of the Data
- Preprocessing on the Data
- Deciding the Model by using Cross Validation
- Training the Best Model
- Fork the Project
- Create your Feature Branch (
git checkout -b) - Commit your Changes (
git commit -m) - Push to the Branch (
git push origin) - Open a Pull Request
Zehra ÖZEREN - [email protected]
Project Link: Insurance Amount Prediction Project