Financial Fraud Detection using Python Machine Learning
This project detects fraudulent financial transactions using machine learning algorithms. It involves analyzing transaction patterns, identifying anomalies, and classifying transactions as legitimate or fraudulent. Techniques like Logistic Regression, Decision Trees, or Random Forest are used to improve accuracy and reduce financial risk.
Project ID: 0637
Sub domains: Machine Learning and Cybersecurity
Domain: Python
Project Year: 2026
Keywords: Fraud Detection Machine Learning FinTech Anomaly Detection Classification Cybersecurity Data Analysis Python
Project Cost :
₹6500
₹4550.0
-30% OFF
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