Credit Card Fraud Detection Using Machine Learning | CodeSoft Task 2 | Python ML Project

Credit Card Fraud Detection Using Machine Learning | CodeSoft Task 2 | Python ML Project In this video, I present my Credit Card Fraud Detection project completed as Task 2 of my CodeSoft Machine Learning Internship. In this project, I developed a Machine Learning model to detect fraudulent credit card transactions. I worked on data preprocessing, missing value handling, categorical feature encoding, feature engineering, model training, and model evaluation. The project covers: Data Preprocessing Data Cleaning Feature Engineering Categorical Data Encoding Handling Imbalanced Data Decision Tree Classifier Random Forest Classifier Confusion Matrix Classification Metrics Credit Card Fraud Detection Technologies Used: Python Pandas NumPy Scikit learn Matplotlib Seaborn Machine Learning This project helped me understand how Machine Learning classification algorithms can be used for fraud detection and how model performance can be evaluated using real transaction data. If you found this project helpful, please Like, Share, and Subscribe for more Python, Machine Learning, Data Science, and AI projects. #CreditCardFraudDetection #MachineLearning #Python #DataScience #FraudDetection #CodeSoft #MLProject #PythonProject #RandomForest #DataAnalytics