#25: Scikit-learn 22: Preprocessing 22: Custom transformers, FunctionalTransformer()
The video discusses the code for custom transformers in Scikit-learn in Python.
Timeline
(Python 3.8)
00:00 - Outline of video
00:35 - Open Jupyter notebook
00:54 - Data
01:05 - Create custom functions
01:54 - FunctionTransformer: Create transformer using custom functions
02:46 - Create pipeline
03:47 - .fit(), .transform(), .fit_transform()
05:30 - Ending notes
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