This repository serves as a platform to upload new code updates for my Master's Thesis (TFM), focused on the utilization of both supervised and unsupervised models on a dataset extracted from Spotify. It also includes a small fragment of my thesis. For more information, please contact me at:

This project implements "Linear Regression", "Polynomial Regression", and "SVR" for data prediction, with visualizations. It’s useful for "predictive analytics" and can be scaled with "AWS SageMaker" for large datasets and real-time inference.

GrafIA es una aplicación web educativa desarrollada con Django con juegos interactivos sobre gráficas de funciones matemáticas. Proyecto realizado para la Feria de las Matemáticas de la BUAP con sede en CU2 usando Django Templates, HTML, CSS y JavaScript vanilla.

A short data science project about analyzing datas from a fictional travel blog.

Python implementation of the Lagrange Polynomial Interpolation method to predict population growth in a city based on historical population data. The program calculates predicted values at specific points between known data and presents the results through an informative graph visualization.

Este proyecto tiene como objetivo predecir el precio de vehículos usados utilizando técnicas de regresión lineal y regularización Lasso. A través del análisis y procesamiento de datos, se construye un modelo predictivo preciso e interpretable basado en las características más relevantes de cada vehículo.

A short data science project about analyzing datas from a fictional travel blog.