Skip to content

Latest commit

 

History

History
36 lines (26 loc) · 1.5 KB

README.md

File metadata and controls

36 lines (26 loc) · 1.5 KB

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: