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Machine Learning with Apache Spark

Module 2 : Pipelines and fitting Extract Transform Select models

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Course curriculum

  • 1
    Extractors, Transformers and Selectors
  • 2
    CountVectorizer and CountVectorizerModel
  • 3
    CountVectorizer code examples in Jupyter notebook
  • 4
    Turning Sir Arthur Conan Doyle's books into feature data
  • 5
    Downloads
  • 6
    Feature data for Endword Classifier
  • 7
    Vote
  • Why should you take this course? FREE PREVIEW Lesson Overview FREE PREVIEW Intro to ETS, Pipelines, and Model fitting FREE PREVIEW
  • CountVectorizer code examples in ipython console FREE PREVIEW
  • CountVectorizer code examples in Jupyter notebook FREE PREVIEW
  • Creates feature data from the collected works on Sherlock Holmes FREE PREVIEW
  • Source
  • Creating feature data for endword predictor FREE PREVIEW Spark.ML_EndWord_1
  • What do you want to see covered ? FREE PREVIEW

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