This repository contains a dataset of Fuel Consumption in Canada for the year 2014. The dataset aims to facilitate the prediction of CO2 emissions based on various factors related to vehicle specifications and fuel consumption. It includes information on different attributes such as model year, make, model, vehicle class, engine size, cylinders, transmission, fuel type, fuel consumption in the city, fuel consumption on the highway, combined fuel consumption, fuel consumption in miles per gallon (MPG), and CO2 emissions.
The purpose of this dataset is to enable researchers, data scientists, and machine learning enthusiasts to develop models and algorithms to predict CO2 emissions based on vehicle specifications and fuel consumption data. By leveraging the attributes available in this dataset, it is possible to explore relationships and patterns that can aid in developing accurate prediction models.
This dataset can be used for various purposes, including but not limited to: Building regression models to predict CO2 emissions based on vehicle characteristics and fuel consumption. Conducting exploratory data analysis (EDA) to identify trends and patterns related to fuel consumption and emissions. Evaluating the impact of different vehicle attributes on CO2 emissions. Developing machine learning algorithms for estimating vehicle emissions. Comparing fuel efficiency between different makes, models, or classes of vehicles.
1.Clone or download the repository to your local machine.
2.Import the dataset into your preferred data analysis or machine learning environment (e.g., Python, R, Jupyter Notebook).
3.Use the provided attributes to explore the dataset, perform data cleaning, and prepare it for analysis.
4.Apply appropriate regression or machine learning techniques to build prediction models for CO2 emissions.
5.Evaluate