A model was built to predict the total insurance claim amount payable by the insurance company using machine learning techniques such as regression in python.
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Updated
Aug 26, 2021 - Jupyter Notebook
A model was built to predict the total insurance claim amount payable by the insurance company using machine learning techniques such as regression in python.
This is a note book of exploratory data analysis on cross selling of health insurance customers on vehicle insurance product and using machine learning to predict whether a customer is interested or not in vehicle insurancen
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A complete Vehicle Insurance Management System built to streamline policy management, claims tracking, and customer information using efficient and scalable methods.
To predict whether the Health insurance policy-holders (customers) from past year will also be interested in Vehicle Insurance provided by the company.
A company has customer data that contains 8 columns of customer details and another table having name customer_policy data contains the policy details of the customer. The company Intends to offer some discounts in premium for certain customers.
Vehicle Insurance Claim Fraud Detection using decision-trees, random-forest and logistic regression.
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