🪐 Repository for the Integrated Project of the Social Networks and Marketing course at PUC-SP, focusing on AI-driven analysis and marketing strategies based on social media data
-
Updated
Dec 8, 2025 - Jupyter Notebook
🪐 Repository for the Integrated Project of the Social Networks and Marketing course at PUC-SP, focusing on AI-driven analysis and marketing strategies based on social media data
Urinary Biomarkers for Pancreatic Cancer
Data Science Projects
Predicting hotel booking cancellations using Machine Learning in R, with data preprocessing and model training. Random Forest achieved 85.23% accuracy, highlighting lead time and previous cancellations as key factors.
End-to-end Medical AI for early Parkinson's detection via vocal biomarkers. Features a novel Dynamic Calibration Engine for noise-robust predictions on consumer hardware. Built with XGBoost, Parselmouth, & Streamlit.
Multimodal AI for Alzheimer's detection. Fuses CSF Proteomics, MRI Volumetrics, and Genetics into an XGBoost model (88% AUC). Features an LLM-powered "AI Neurologist" for clinical interpretation.
Add a description, image, and links to the xboost-classifier topic page so that developers can more easily learn about it.
To associate your repository with the xboost-classifier topic, visit your repo's landing page and select "manage topics."