Pipeline

M1. The Predictive Modeling Pipeline M1. Preprocessing for numerical features
#1

Pipeline is a strong feature to implement data transformation prior to ML training and predictions.
Please provide here coments and examples of custom pipelines and/or specific useful pipelines.

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#2

I strongly agree with MarcoDipa, Iā€™m actually only doing this course to learn how to properly/best practices using pipelines, column transformers and those features.

#3

Please be patient you will see many examples of the usage of the Pipeline and ColumnTransformer classes in the subsequent lessons. Various transformers for feature preprocessing are introduced progressively in the MOOC.

There are examples of complex pipelines in the scikit-learn documentation, for instance in:

but I would recommend to complete the first couple of modules of the MOOC first before trying to understand how such complex pipeline works.

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#4

Many thanks for your answer and support.

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#5

Thank you!