Add a jupyter notebook demonstrating the full functionality of the Cyclical Transformer to our example gallery located here:
https://github.com/feature-engine/feature-engine-examples/tree/main/creation
The notebook should feature a dataset as real as possible, suitable options are those from the UCI Machine Learning repository,
The data can't be uploaded to the repo, so we need to indicate in the notebook how to obtain it.
We need to link the notebook to the CyclicalTransformer rst afterwards.
Add a jupyter notebook demonstrating the full functionality of the Cyclical Transformer to our example gallery located here:
https://github.com/feature-engine/feature-engine-examples/tree/main/creation
The notebook should feature a dataset as real as possible, suitable options are those from the UCI Machine Learning repository,
The data can't be uploaded to the repo, so we need to indicate in the notebook how to obtain it.
We need to link the notebook to the CyclicalTransformer rst afterwards.