fastai-shared-notebooks

Some useful functions for fastai tabular model analysing
Hope the notebook is self explanatory :)

Contains functions and examples of:

• How to make prediction on a new dataset with trained fastai model (learner)
• How to use trained embeddings in other process (to train Random Forest in this case)
• How to calculate feature importance in fastai
• How to calculate partial dependence for categorical features
• How to plot dendrograms for the data
• How to plot embeddings

Thanks to:

• fastai framework itself
• fastai Machine Learning course lesson 3 and lesson 4. Or if you prefer - the notebook of these tutorials
  My notebook is pretty much an implementation of these ones for fastai tabular model case (with some of my thoughts and experiments' results)