/Insurance-Product-Purchase-Prediction

This project aims to develop a predictive model estimating insurance coverage costs for customers based on their attributes and product choices. The dataset includes transaction and quote details for policy purchasers. The objective is to predict quoted coverage costs, considering customer traits and 7 customizable product options.

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

Insurance-Product-Purchase-Prediction

ML Dataset Analysis

It contains two files

  1. The ipynb file which contains my analysis
  2. The project abstract that gives you the whole description