This project focuses to provide an overview of where machine learning can be applied in the fight against climate change. We are spreading Global Warming awareness with the help of this project.
Applying Machine Learning Algorithms • Linear Regression • Random Forest • ARIMA (Auto Regressive Integrated Moving Average)
• Aim: To Design a Model to accomplish Analysis of Global Warming using Machine Learning.
• Objectives: The Main Obiective is to predict temperature. To capture the relationship between CO2 and temperature to analyze the combat cause of Global Warming.
Hardware Requirements Processor: Quad core Intel i3 or higher Computer architecture bit widths: 64-bits RAM: 4 GB or higher Hard disk space: 16 GB or higher Internet Connection: Required
Software Requirements • Languages Python • IDE(Integrated Desktop Environment) Jupiter Notebook
Tech Stack
- HTML and CSS- Frontend
- Flask- Backend
