Tourism demand forecasting
Hack4Tourism · May 2024
Tourism and weather data prepared and modelled to forecast demand under temperature change.
- Stack
- Python · Pandas · NumPy · scikit-learn
Cleaned, joined, and prepared ISTAT tourism data and Meteostat weather data for predictive modelling.
Compared linear regression, random forest, and gradient-boosting models, reaching R² ≈ 0.58, and modelled temperature-change scenarios.