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Real time Credit card Fraud Detection using Spark 2.2 - aretr - 08-25-2019 Created by Pramod Narayana | Video: 1280x720 | Audio: AAC 48KHz 2ch | Duration: 02:50 H/M | Lec: 30 | 1.26 GB | Language: English | Sub: English [Auto-generated] 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 Implementation of Real time Credit card Fraud Detection using Spark Kafka and Cassandra. Implementation of Spark ML Pipeline Stages like String Indexer, One Hot Encoder and Vector Assembler for Pre-processing Create machine learning model using Random Forest Algorithm Data balancing using K-means Algorithm Integration of Spark Streaming Job with Kafka and Cassandra Exactly once semantics using Spark Streaming custom offset management Run Spark Jobs from Development Environment like Intellij Automate the Spark Jobs using Airflow Automation framework on Spark Standalone Cluster. Who this course is for? Data Scientist, Data Engineers, Software Engineers, Managers, Architects, Computer Science Engineering Students Homepage Code: https://www.udemy.com/course/real-time-creditcard-fraud-detection-using-spark/ DOWNLOAD Code: http://nitroflare.com/view/974DD5CD7F35686/mxau3.Realtime.Credit.card.Fraud.Detection.using.Spark.2.2.part1.rar Code: https://rapidgator.net/file/356eafb985337f10c747533c8ba7faad/mxau3.Realtime.Credit.card.Fraud.Detection.using.Spark.2.2.part1.rar |