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(Part 1) Using Column Transformer for making Machine Learning workflow easy | Machine Learning
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In this tutorial, we'll look at Column Transformer, a powerful data pre-processing technique for making machine learning workflow super simple.
Column Transformers can be used in conjunction with Pipelines and GridSearchCV to further let the model itself pick best parameters for the best working model performance.
In the tutorial, we'll be going through all the nitty-gritties of Column Transformer, and discuss when, how, where to use them.
I've uploaded all the relevant code and datasets used here (and all other tutorials for that matter) on my github page which is accessible here:
Link:
If you like my content, please do not forget to upvote this video and subscribe to my channel!
If you have any qualms regarding any of the content here, please feel free to comment below and I'll be happy to assist you in whatever capacity possible.
Thank you!
Column Transformers can be used in conjunction with Pipelines and GridSearchCV to further let the model itself pick best parameters for the best working model performance.
In the tutorial, we'll be going through all the nitty-gritties of Column Transformer, and discuss when, how, where to use them.
I've uploaded all the relevant code and datasets used here (and all other tutorials for that matter) on my github page which is accessible here:
Link:
If you like my content, please do not forget to upvote this video and subscribe to my channel!
If you have any qualms regarding any of the content here, please feel free to comment below and I'll be happy to assist you in whatever capacity possible.
Thank you!
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