Spark Feature Transformation | StringIndexer | OneHotEncoderEstimator | Vector Assembler | Part - 8

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Important concept for any Machine Learning Model development.
Feature Transformation with help of String Indexer, One hot encoder and Vector assembler.
How we can convert categorical String dataset into machine learning model completable.

How to install Anaconda and Jupyter Notebook

  1. Binod Suman Academy
  2. Spark tutorial
  3. Spark ML tutorial
  4. PYSpark tutorial
  5. Machine Leaning
  6. StringIndexer
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Комментарии
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you seem so passionate about what you are teaching, Nice way to teach, Thank you

meriemben
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Bhai...chaye gaye guru....too good. Your video is what I was looking for.

KamleshKumar-gife
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I just love your way of explanation it's so easy and perfect. Please make more videos in ml in pyspark.

flamboyantperson
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your commitment to explain thing is praiseworthy. I wish you success.

soumenchandra
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wow..well explained! looking forward to more spark videos

suhasnadiga
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Hello I am new in Spark Feature Transformation. Can you calculate feature importance when using the Vector Assembler?

TheGentlemanGR
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Thank you so much for your helpful work and clear explanation. But I got
error while using OneHotEncoderEstimator on Spark version 3.0.1. Here
the error message:" ImportError: cannot import name
'OneHotEncoderEstimator' from 'pyspark.ml.feature'

please may I get any help from your side.

assefasenbato