Introduction To Pytorch

This article provides a detailed overview of a Deep Learning project using PyTorch. It follows the steps in the official PyTorch documentation, but considers a different example, i.e. tabular data stored in a .csv file, instead of image classification. The data used is from Kaggle and is freely available. It describes different features that are needed to determine water quality in an urban environment. Additionally, a colab notebook and GitHub repository are provided for further reference.