Project for the Deep Learning discipline of the Postgraduate Program in Electrical Engineering at the Federal University of Pará.
The project is an ANN approach for the Santander Customer Satisfaction challenge. The model is trained with the dataset in three states: unbalanced (original), oversampled and undersampled.
- Authors: Caio Cardoso, Wilson Cosmo
- Information about the challenge: https://www.kaggle.com/competitions/santander-customer-satisfaction/overview
Information about the script:
- The script is a tensorflow and keras based ANN
- To run the script, it is necessary to use the Kaggle API token to load the dataset
- Information about the Kaggle API token: https://www.kaggle.com/docs/api
- The script is designed to run in the Google Colab virtual environment