Python Spark and Machine Learning

Online Course

Udemy
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Python Spark and Machine Learning
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Python Spark and Machine Learning
The course Python Spark and Machine Learning is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

RDD, Supervised and Unsupervised Learning, Mlib, Spark SQL, Hive, Hadoop

Course description
  • Python Spark and Machine Learning
  • 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
  • No requirements
  • 4 hours on-demand video
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Data Full
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Prerequisites & Facts

Python Spark and Machine Learning

Course Topic

Development, Kubernetes, Programming Languages

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Python Spark and Machine Learning

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
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Python Spark and Machine Learning
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Reviews

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School: Udemy
Topic: Apache Spark, IT & Software, IT Certification

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