Real-Time Fraud Detection in Financial Transactions

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About Course

  • Tech Stack: Python (PySpark, TensorFlow, Scikit-learn), Kafka, Hadoop, GCP (BigQuery, DataFlow), Docker
  • Objective: Develop a real-time fraud detection system using a combination of machine learning models and big data processing tools. Transactions will be processed in real-time with Kafka and analyzed using a fraud detection algorithm built in TensorFlow.
  • Skills Needed: Real-time data streaming (Kafka), big data processing (PySpark, Hadoop), cloud deployment (GCP), deep learning for anomaly detection, Docker for containerization.

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