Modelo predictivo XGBoost para estimar el IPM continuo usando variables del hogar. Incluye análisis SHAP para interpretabilidad.
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Dec 2, 2025 - Jupyter Notebook
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gxboost
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End-to-end Machine Learning project for Titanic survival prediction using ensemble models (Logistic Regression, Random Forest, KNN, XGBoost) deployed with Streamlit.
machine-learning random-forest ensemble-model k-nearest-neighbours lineal-regression vectorial-model gxboost
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Dec 18, 2025 - Python
Machine learning for econometric prediction using R: random forests, XGBoost, and logistic regression applied to classification problems with economic datasets.
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Jun 25, 2026
AI‑powered web app to forecast UK voter behaviour and spark transparent, non‑prescriptive political reflection.
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Sep 21, 2025 - TypeScript
This repository serves as a collection of my work and learning in machine learning while my internship in Cellual-Technologies, including algorithm explanations, data preprocessing workflows, and two projects.
training data-science machine-learning random-forest model linear-regression eda pca data-analysis logistic-regression preprocessing decision-trees polynomial-regression support-vector-machines dbscan kmeans-clustering hierarchical-clustering gradient-boosting knn-classification gxboost
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Aug 15, 2025 - HTML
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