Random Forest is a supervised machine learning algorithm based on ensemble learning principles. It combines multiple decision trees to make predictions, resulting in robust and accurate models. This ...

This project's primary objective is to detect credit card fraud in the real world. Recent growth has resulted in a significant increase in the number of credit card transactions. The objective is to ...

This project is a machine learning-based system to detect fraudulent credit card transactions using the Random Forest classification algorithm. It is designed to analyze transaction data and ...

In this paper we mainly focus on credit card fraud detection in real world. Here the credit card fraud detection is based on fraudulent transactions. Generally credit card fraud activities can happen ...