Fairly new to the ML and DL universe. Was wondering what would be the best approach to create a model that should a predict a target variable based on features that have numerical, categorical, Text and Image elements.
One example for such a problem would be the latest Kaggle Competition.
Thanks a lot. I believe that is covered in the Part 2 of Cutting Edge DL Course?. Currently I am about to finish Part 1. Will Check it out for sure. Thanks again.