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Project Mission
"Our mission is to leverage the provided weather dataset to build an accurate and reliable temperature prediction model for Szeged, Hungary. By integrating advanced machine learning techniques with historical meteorological data, we aim to enhance the accuracy of temperature forecasts. This project will empower local communities, businesses, and policymakers with actionable insights, enabling better preparedness for weather-related challenges and promoting safety and informed decision-making."
Introduction
Introduction
The project aims to predict temperatures in Szeged, Hungary, using historical weather data. Machine learning models will be developed for accurate forecasting.
DataPrep_EDA
DataPrep_EDA
The data will be cleaned and explored to identify key patterns. This step ensures quality inputs for model building.
Models
Models
Various machine learning models will be trained and evaluated. The best-performing model will be selected based on accuracy metrics.
Conclusion
Conclusion
The final model will improve temperature predictions and aid in better decision-making for Szeged’s weather forecasting.
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