Weather-Prediction-using-Machine-Learning

Project Titled - An Intelligent Regression Approach for Weather Forecasting System Using Machine Learning

This repository contains a machine-learning project for weather prediction. The goal of this project is to develop a model that can accurately predict weather conditions based on historical data.

Table of Contents:

1. Abstract
2. Project Structure
3. Publisher

Abstract:

• Accurate weather forecasting is imperative across various sectors, impacting decisions in agriculture, transportation, and emergency planning. Conventional methods often struggle with the intricate patterns in weather data, limiting accuracy. In this study, we harness the power of machine learning to address these challenges and enhance the precision and reliability of weather predictions. Our main contribution lies in leveraging machine learning algorithms to analyze weather data effectively, aiming for superior accuracy compared to traditional methods. Through this approach, we strive to create a weather forecast model that offers more dependable predictions, thereby facilitating informed decision-making in diverse industries and daily life.

Project Structure:-

Data Files:

1. seattle-weather.csv
2. weather.csv

Source Code:

1. Weather prediction & forecasting.ipynb
2. temperature prediction.ipynb

Software Used

• Jupyter Notebook
• Python
• Google Colab

Publisher:

The research paper for this project is published in the proceedings of the 1st International Conference on Cognitive, Green, and Ubiquitous Computing (IC-CGU), held on 1-2 March 2024.

• Publisher Name: IEEE Xplore
• Link: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10530704&isnumber=10530657

Authors

• Piyush Das