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1. Alzheimer_Classification_Xception_99.5 Alzheimer_Classification_Xception_99.5 Public

   This repository contains an Alzheimer's classification model based on the Xception architecture. We have achieved 99.5% accuracy in the early detection of this disease. The main objective is to pro…

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2. Asthma-Prediction-Factors-Risk Asthma-Prediction-Factors-Risk Public

   Machine Learning project designed to identify risk factors in patients with asthma, using clinical and environmental data. We implement models such as Random Forest and multiple tuning and validati…

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3. Bios Bios Public

   Bios is a personal biography reimagined from a futuristic perspective. It explores the fusion between human identity and emerging technologies. The project uses digitalization and artificial intell…

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4. Brain-Tumor-Classification-Xception-100-Accuracy Brain-Tumor-Classification-Xception-100-Accuracy Public

   Classification of 3 types of tumors and normal patients using Xception. This analysis allows me to train my skills to develop classification models.

   Jupyter Notebook

5. Pneumonia_Detection_EfficientNetB3_98_Validation_Accuracy Pneumonia_Detection_EfficientNetB3_98_Validation_Accuracy Public

   Deep Learning model designed to detect pneumonia from chest X-rays. It uses the EfficientNetB3 architecture, achieving 98% accuracy in validation.

   Jupyter Notebook

6. Tumor-Cancer-Type-Prediction Tumor-Cancer-Type-Prediction Public

   Machine Learning project designed to predict types of cancer based on clinical and biomedical data. It includes tools for data exploration, feature selection, and visualization of results.

   Jupyter Notebook