Project Overview
Welcome to the Forecasting Weather project! This project focuses on analyzing historical weather data to predict future weather patterns. By employing advanced time series analysis and forecasting techniques, the project aims to provide accurate weather predictions to assist in planning and decision-making.
Project Highlights
- 📊 Time Series Analysis: Examining historical weather data to identify trends and seasonal patterns.
- 🔮 Forecasting Models: Implementing predictive models to forecast future weather conditions.
- 🛠Data Processing: Cleaning and preprocessing large datasets for accurate analysis.
Tools & Technologies Used
- Programming Language: Python
- Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, and Statsmodels
- Data Sources: Public weather datasets
Forecast Graph
This graph displays the predicted weather trends based on historical data.