Published research · IEEE ICPCSN 2024
Predictive Analysis of Vehicle CO2-Emissions
A machine-learning system for predicting vehicle fuel consumption and CO₂ emissions while enabling users to compare the environmental characteristics of different vehicle models.The application evaluates multiple predictive approaches—including Linear Regression, Ridge, Lasso, Elastic Net, Neural Networks, XGBoost and Random Forest—and exposes the prediction workflow through a Flask-based web application.
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PythonFlaskNumPyscikit-learnpickle
Python · Flask — click to expand
