PyTorch Tutorial for Beginners: Build a Multiple Regression Model from Scratch

This PyTorch tutorial demonstrates building a multiple regression model from scratch using the Abalone dataset, where the goal is predicting age based on physical measurements. The tutorial explores data preparation, identifies problems like non-normal distribution and homoscedasticity violations, then compares a traditional scikit-learn model against a custom PyTorch neural network with linear layers and ReLU activation. Despite deep learning's power, the PyTorch model only improved performance modestly by 4% due to inherent data challenges.