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Real-time Credit card Fraud Detection using Spark 2.2

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Partner: Udemy
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Description: Real-time Credit card Fraud Detection is implemented using Spark Kafka and Cassandra. Spark ML Pipeline Stages like String Indexer, One Hot Encoder and Vector Assembler is used for Pre-processing Machine Learning model is created using the Random Forest AlgorithmData balancing is done using K-means Algorithm Integration of Spark Streaming Job with Kafka and CassandraExactly-once semantics is achieved using Spark Streaming custom offset managementAirflow Automation framework is used to automate Spark Jobs on Spark Standalone Cluster.
Category: Development > Software Engineering > Fraud Analytics
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Price: 24.99
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Source: Impact
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