App that detects severity of Diabetic Retinopathy using TensorflowLite model trained from scratch in Google Colab notebook.
Training classifier models on acoustic metadata to predict genres and subgenres.
Training classifier models to predict genres and subgenres on album cover data.
A collection of 10 end-to-end supervised Machine Learning projects built using Python, Jupyter Notebook, Scikit-learn, and Streamlit, covering both regression and classification algorithms.
A theoretical analysis of possible approaches to an imbalanced dataset.
Using supervisoned machine learning to classify music hits
Trabajos Prácticos de la material Inteligencia Artificial UNLaM (3664) - 1C 2025.
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