Insurance-Claim-Fraud-Detection

Predict if a driver will file an insurance claim next year. (Kaggle Competition)

Helping to detect fraud in Automobile Insurance Claims using Python, ML and Neo4j Graph Database.

The platform features: Provide 24/7, personalized guidance on policy selection and claims via voice or chat. Ensure clear understanding of policy terms. Automate form-filling with Al for error-free applications and higher claim acceptance rates.

保险科技的自主工作流程 | 理赔处理 | 预约安排

This application predicts whether a customer will make an insurance claim based on their profile and vehicle details. The app leverages machine learning models, logged and managed via MLflow, to ensure version control and easy deployment.

Credit Risk Analysis : Classification Models that can predict if a loan is likely to default using Decision Trees/Ensemble methods

A cybersecurity project, aimed to make compliance checks on remote devices easier to mitigate the threat imposed by persistence techniques in the digital world.

Use of Gradient Boosting Descision Trees for a Classification Problem

Machine learning project to modeling propensity to claim