Credit Card Fraud Detection
Jan 2025
Machine Learning, Python, Data Science
Key Achievements
Achieved improved accuracy in fraud detection by analyzing complex transaction patterns and anomalies, reducing false positives.
Implemented various classification algorithms and evaluated their performance to select the most effective model for real-time detection.
Tools & Technologies
PythonScikit-learnPandasNumpyJupyter Notebook
Objective
Developed and trained a machine learning model to accurately detect fraudulent credit card transactions, minimizing financial risks.
Project Links
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