El reporte utiliza un dataset que contiene información sobre variables sensoriales, métodos de procesamiento y características del café provenientes de distintos países productores. A través de técnicas de análisis exploratorio y estadísticas descriptivas, se busca identificar cuáles variables presentan mayor relación con la calidad del café.

Predicting Walmart weekly sales using store, seasonal, and economic data with EDA, statistical analysis, and machine learning models including linear regression, stepwise regression, random forest, and XGBoost

Data cleaning, hypothesis testing, and visualization pipeline to uncover trends in clinical datasets.

Analysis of molecular subtypes in breast cancer datasets to inform personalized treatment strategies.

Regression-based analysis identifying key maternal risk factors and generating actionable health insights.