Welcome to my weather forecasting project! 🌤️ In this repository, I’ve built a Python program that predicts temperature trends using real historical data from the Daily Delhi Climate dataset. Whether you’re a data enthusiast, a curious learner, or someone planning outdoor events, this project has something for you.
- Temperature Trends : The program captures fluctuations, seasonal variations, and long-term patterns.
- Interactive Visualizations : Thanks to Plotly, you can explore the data dynamically.
- Easy-to-Use: Follow the steps in the video tutorial to get started.
- Clone this repository to your local machine.
- Install the required libraries: pip install numpy matplotlib prophet plotly
python weather_predictor.py
I used the Daily Delhi Climate dataset (DailyDelhiClimateTrain.csv), focusing solely on temperature. You can find the dataset in the data directory.
Clean and preprocess the data (if needed). Train the Prophet model on historical temperature data. Project temperature conditions for the next year.
Contributions are welcome! Feel free to open issues, submit pull requests, or share your insights.
Let’s make temperature forecasting accessible to everyone! 🌎📊 Feel free to explore the code and contribute. Happy coding! 🚀🔍