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 udemy course
Real time Credit card Fraud detection using Spark Streaming, Spark ML, Kafka, Cassandra and Airflow
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 Real-time Credit card Fraud Detection using Spark 2.2 Udemy
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
- Master the Coding Interview: Data Structures + Algorithms
- Scrum Certification 2022 +Scrum Master+ Agile Scrum Training
- Relational Database Design
- SQL for Beginners: Learn SQL using MySQL and Database Design
Course Details:
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3 hours on-demand video
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11 downloadable resources
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
Real-time Credit card Fraud Detection using Spark 2.2 udemy free download
Real time Credit card Fraud detection using Spark Streaming, Spark ML, Kafka, Cassandra and Airflow
Demo Link: https://www.udemy.com/course/real-time-creditcard-fraud-detection-using-spark/
