Real-time Credit card Fraud Detection using Spark 2.2

Real time Credit card Fraud detection using Spark Streaming, Spark ML, Kafka, Cassandra and Airflow

Real-time Credit card Fraud Detection using Spark 2.2
Real-time Credit card Fraud Detection using Spark 2.2
What you'll learn
  • Students will be able to build End to End Big data project using Spark, Kafka, Cassandra, Scala and Java

 

 

 

 

Requirements
  • Spark Streaming, Spark ML, Kafka, Cassandra, Programming IDE like Intellij or Eclipse, Java, Scala
 
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 Algorithm

Data balancing is done using K-means Algorithm

Integration of Spark Streaming Job with Kafka and Cassandra

Exactly-once semantics is achieved using Spark Streaming custom offset management

Airflow Automation framework is used to automate Spark Jobs on Spark Standalone Cluster.

Who this course is for:
  • Data Scientist, Data Engineers, Software Engineers, Managers, Architects, Computer Science Engineering Students

 

 

 

 

Real-time Credit card Fraud Detection using Spark 2.2 udemy courses free download

Real time Credit card Fraud detection using Spark Streaming, Spark ML, Kafka, Cassandra and Airflow


Demo url: https://www.udemy.com/course/real-time-creditcard-fraud-detection-using-spark/