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Analyze fraudulent credit card transactions using Kafka, Spark Streaming, and Random Forest Classifier algorithms in PySpark

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BigdataAnalysis_CounterfeitCreditCards-Kafka_SparkStreaming

Analyze fraudulent credit card transactions using Kafka, Spark Streaming, and Random Forest Classifier algorithms in PySpark. The system is designed to process large amounts of credit card transaction data in real time, analyze transaction patterns and identify suspicious transactions.

About

Analyze fraudulent credit card transactions using Kafka, Spark Streaming, and Random Forest Classifier algorithms in PySpark

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