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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

License

This project is licensed under the MIT License.