This repository compiles the Jupyter notebooks developed during the Data Modeling Lab course.
The contents are organized into three main folders: pre-modeling, regression, and classification.
The purpose of this portfolio is to compile the exercises completed throughout the course, showcasing the complete data modeling workflow: from exploratory analysis and dimensionality reduction to the implementation of classical models and neural networks for both regression and classification.