PROJECT STUDY / Fuel Consumption & C02 Emissions Analysis & Prediction + Multiple Linear Regression
Fuel Consumption & C02 Emissions Analysis & Prediction + Multiple Linear Regression
Performed an analysis of automobile fuel consumption and CO2 emissions to predict emission levels based on various factors. The project aimed to identify key contributors to fuel efficiency and environmental impact of CO2 emissions, aiding manufacturers and policymakers in making informed decisions.
emissions?Compare vehicle features.
Model the relationship.
Project overview
Performed an analysis of automobile fuel consumption and CO2 emissions to predict emission levels based on various factors. The project aimed to identify key contributors to fuel efficiency and environmental impact of CO2 emissions, aiding manufacturers and policymakers in making informed decisions.
Python Data Preprocessing & Analysis Libraries : scikit-learn,pandas,matplotlib,seaborn,numpy Multiple Linear Regression
Approach & tools
Python Data Preprocessing & Analysis · Libraries : scikit-learn,pandas,matplotlib,seaborn,numpy · Multiple Linear Regression
Project impact
The project provided insights into factors affecting fuel consumption and CO2 emissions, allowing for accurate predictions and supporting efforts to optimize vehicle efficiency and reduce environmental impact.
Explore the work
Open the project repository to review the analysis, notebooks, SQL, dashboards, or supporting files.