A web app that predicts the insurance premium charges of an individual using Machine learning
This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.
Exploratory Data Analysis & predicting medical insurance cost with machine learning.
A Car Insurance Premium Analysis Case Study Related to a One of my Post on Medium
Capstone Project for Insurance Premium Default Propensity
Add a description, image, and links to the insurance-premium-predictor topic page so that developers can more easily learn about it.
To associate your repository with the insurance-premium-predictor topic, visit your repo's landing page and select "manage topics."