This project uses logistic regression to predict customer subscription behavior based on age and gender. By quantifying how these demographics drive conversion, this analysis identifies high-value customer segments. The resulting evidence-based insights will guide managerial decisions on marketing investment and targeting strategy.

Ordering table by temporal occurance

As of January 14, 2026

Documento divulgativo basato su ‘A Minimal Axiomatic Definition of Democratic Procedure di G.Vidotto’

This report presents an analysis of hospital operational data, including interactive visualizations, exploratory data analysis, and profit forecasting using time series methods. It also examines patient churn and key factors affecting hospital performance.