Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

Insurance fraud is a massive burden for the industry and causes billions in economic damage yearly. This research deals with the difficulties in fraud detection of insurance companies, focusing on ...

One of the most prevalent cyber-attacks today is Distributed Denial of Service (DDoS). Today, many network administrators still rely on manual analysis to detect suspicious activity with the help of ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...

A production-ready fraud detection system using XGBoost and Random Forest algorithms with 100% accuracy on test data.

Contribute to PratyayRajak/Fraud-Detection-Using-Random-Forest-and-Optuna development by creating an account on GitHub.

Finance's biggest firms are considering how AI might impact jobs, how it could cut costs, and reduce "grunt work." ...