Higson - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Higson.io library (Java Business Rules Engine (BRE)/Java Pricing Engine). The application demonstrates responsive quotations for Car/Motor Insurance based on decision tables and Rhino functions (for math calculations).
Based on the researches on the subject of car insurance, constructed machine learning models to classify customers by characteristics for insurance customers and predicted claim amount.
Script to automate the repetition in finding car insurance quotes
In this repository several small JavaScript projects will be hosted with the DOM, it will be used: local storage and array methods.
Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use the gathered knowledge from actuarial Science Course.
Front-End Project For Car Insurance Website
Forecast of car claim frequency using GLM, boosting and neural networks
Written in Julia | Car insurance cost simulations
A web application with a login screen which takes a username and password. Once authorised, it navigates the user to another page which displays policy details.
Optimizing car insurance risk analysis with statistical modeling and machine learning to improve marketing strategy and premium pricing at AlphaCare Insurance Solutions.
Here you can see the projects I'm been involved with. ☺☺
Simple car insurance quote generator using Javascript
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