Machine learning vs Deep learning on Tabular data
Early on there was a lot of skepticism regarding the use of neural networks for tabular data. This short experiment compares the 2 approaches and finds out if deep learning models can match the performance of machine learning models in case of tabular data. Results below:
Learn more about how pretrained models work.
Collaborative filtering is an application of machine learning where we try to predict whether a user will like a particular movie or product. Check out my article on the same here.
In this notebook we learn how to perform collaborative filtering on a song dataset in its most basic form. The dataset only has userID, songID and the rating as shown.