Python code for a Weather Forecasting Application
This is a Python-based application that utilizes historical weather data and machine learning algorithms to predict future weather patterns. The project demonstrates the use of classes, data processing, and plotting techniques.
- Fetches historical weather data from an API (e.g., OpenWeatherMap)
- Cleans and preprocesses the data for analysis
- Trains a linear regression model to predict future temperatures
- Visualizes the predicted vs. actual temperature over time
- Clone the repository:
git clone https://github.com/mrchandrayee/weather-forecast.git
- Install the required dependencies:
pip install -r requirements.txt
- Obtain an API key from a weather data provider (e.g., OpenWeatherMap).
- Replace
YOUR_API_KEY
in the code with your actual API key. - Run the application: `python main.py
Feel free to reach out to us through any of the following platforms:
- Telegram: @chand_rayee
- LinkedIn: Mr. Chandrayee
- GitHub: mrchandrayee
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