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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.