An educational machine learning project that classifies online payment transactions as legitimate or fraudulent. It preprocesses a transaction dataset, encodes and scales features, then trains and evaluates Logistic Regression, Decision Tree, and Random Forest models with Python, pandas, NumPy, and scikit-learn.
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Topic: python-3清除
base-flaskalbertyw
ADDEDA Python 3 starter for simple Flask web apps with Gunicorn, nginx, Docker, tests, and deployment scripts for Ubuntu/Debian servers.