Pipeline in Machine Learning | sklearn | TeKnowledGeek

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Pipeline in Machine Learning | sklearn | TeKnowledGeek

A machine learning pipeline is a way to codify and automate the workflow it takes to produce a machine learning model. Machine learning pipelines consist of multiple sequential steps that do everything from data extraction and preprocessing to model training and deployment.

One Hot Encoding | Different Types of Feature Engineering Encoding Techniques | TeKnowledGeek

This video will show you how to create a workflow using sklearn pipeline method.

1. Why do we need to use sklearn Pipeline?
2. How can we create a workflow using sklearn Pipeline?
3. What are the pros and cons of sklearn Pipeline?

Related video title :
One Hot Encoding | Different Types of Feature Engineering Encoding Techniques | TeKnowledGeek

related tags :
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reference:

tags : #Pipeline #FeatureScaling #FeatureEngineering​ #Data_Preprocessing​ #machine_learning​ #teknowledgeek​
  1. TeKnowledGeeK
  2. pipeline in machine learning
  3. machine learning
  4. data science
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