CreditGuardian-Detecting-and-Preventing-Credit-Card-Fraud

• Conducted Exploratory Data Analysis (EDA) on the Credit Card Dataset, leveraging Pandas and NumPy for comprehensive data manipulation and analysis.
• Utilized Seaborn and Matplotlib to create insightful visualizations, uncovering key patterns and trends within the data.
• Applied scikit-learn to implement supervised machine learning models, including Decision Tree Classification and Logistic Regression.
• Evaluated the performance of these models using a range of metrics, such as accuracy score, confusion matrix, recall score, and precision score, ensuring a thorough assessment of model effectiveness.