TourPredict is a predictive modeling project that analyzes the impact of environmental factors on tourism resource allocation. Using data on temperature, air quality, noise levels, and visitor statistics, it builds models (Linear Regression, Random Forest) to forecast resource needs and optimize site management.
data-science random-forest machine-learning-algorithms predictive-modeling data-science-portfolio resource-allocation kaggle-dataset data-visualization-project data-visualization-dashboard data-science-projects linear-regression-python environmental-data-science vinay-patel vinay-patel22 vinay-patel-portfolio vinay-patel22-portfolio tourism-analysis tourpredict
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Updated
Dec 16, 2024 - Jupyter Notebook