Weather-Forecasting

Python code for a Weather Forecasting Application

Weather Forecasting Application

Description

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.

Features

• 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

Installation

1. Clone the repository: git clone https://github.com/mrchandrayee/weather-forecast.git
2. Install the required dependencies: pip install -r requirements.txt

Usage

1. Obtain an API key from a weather data provider (e.g., OpenWeatherMap).
2. Replace YOUR_API_KEY in the code with your actual API key.
3. Run the application: `python main.py

Connect With Us 🌐

Feel free to reach out to us through any of the following platforms:

• Telegram: @chand_rayee
• LinkedIn: Mr. Chandrayee
• GitHub: mrchandrayee
• Kaggle: mrchandrayee
• Instagram: @chandrayee
• YouTube: Chand Rayee
• Discord: AI & ML Chand Rayee