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Udemy - Python Spark And Machine Learning
TORRENT SUMMARY
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RDD, Supervised and Unsupervised Learning, Mlib, Spark SQL, Hive, Hadoop
What you'll learn:
Create robust processing pipelines by testing Apache Spark jobs
Configure a local instance of PySpark in a virtual environment
Explore regression, classification and clustering models available in the ML module
Use DataFrames to transform data used for modeling
Learn Linear Regression, Logistic Regression, and Cluster Analysis
you’ll learn how to abstract data with RDDs and DataFrames
Requirements
No requirements
Description
Apache Spark est un framework de traitement parallèle open source qui existe depuis un certain temps maintenant. L'une des nombreuses utilisations d'Apache Spark est pour les applications d'analyse des données sur les ordinateurs en cluster
Vous apprenez à obtenir des données à partir de toutes les plaques-formes d'hébergement de données populaires, y compris HDFS, Hive, JSON et à gérer de grands ensembles de données avec PySpark pour acquérir une expérience pratique du Big Data.
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[ FreeCourseWeb.com ] Udemy - Python Spark and Machine Learning.zip
