Are the Data-Preprocessing techniques provided here sufficient for most of the (real)datasets? Or an external reading is required?
Hey @gpk2000, great question! We didn’t explain the whole data preprocessing since we are focusing on deep learning While you are interested to data preprocessing, here is a great resource: https://pandas.pydata.org/pandas-docs/stable/user_guide/basics.html
Thank you for the reply. I will look into it.
While executing this snippet:
inputs = inputs.fillna(inputs.mean())
/tmp/ipykernel_7756/763590840.py:1: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction. inputs.fillna(inputs.mean())
As solution I would suggest to add these parameters:
More info about
mean function here