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This notebook demonstrates how to do cross-validation (CV) with linear regression as an example (it is heavily used in almost all modelling techniques such as decision trees, SVM etc.). We will mainly use sklearn to do cross-validation.

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cross-validation gridsearchcv kfold-cross-validation overfitting sklearn

crossvalidationwithlinearregression's Introduction

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Hi there ๐Ÿ‘‹

I am Ashutosh Kumar currently working as Senior Data Scientist @ Thomson Reuters. I am an Experienced Data Scientist with a demonstrated history of working in the information technology and services industry. Skilled in SQL, Python, Machine Learning, Tableau, Big Data to name a few tech. Strong engineering professional with a Master of Science(MSc) degree focused in Data Science from Liverpool John Moores University.


โšก About Me

  • ๐Ÿ”ญ Iโ€™m currently working as Senior Data Scientist @ Thomson Reuters
  • ๐ŸŒฑ Iโ€™m currently learning DevOps and Data Engineering
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on open source/commercial projects
  • ๐Ÿ’ฌ Ask me about Machine Learning and Data Science
  • ๐Ÿ“ซ How to reach me:
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Last Edited on: 26/10/2021

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