Fuel Consumption Prediction Model

Overview

This project focuses on predicting CO2 emissions based on various fuel consumption factors using a Multiple Linear Regression model. The dataset utilized for this project is sourced from Kaggle and includes data on fuel consumption for different vehicles.

Features

• CO2 Emissions Prediction: Accurately forecasts CO2 output based on given input variables.
• Regression Analysis: Implements multiple linear regression to uncover relationships between variables.
• Interactive Visualizations: Provides visual representations of data correlations.

Project Structure

Fuel-Consumption/
├── FuelConsumption.csv    # Dataset used for training and evaluation
├── Co2_prediction.ipynb   # Jupyter notebook with data analysis and model implementation
└── README.md              # Project documentation

Technologies Used

• Programming Language: Python
• Libraries:
  • pandas
  • scikit-learn
  • matplotlib
  • seaborn

Acknowledgments

• Dataset: Kaggle - Fuel Consumption

License

This project is licensed under the MIT License.