This project aims to analyze fuel efficiency trends, transmission preferences, vehicle classes, and manufacturer patterns in the Canadian light-duty vehicle market. The analysis is based on a dataset containing fuel consumption ratings and estimated carbon dioxide emissions for new vehicles from 2000 to 2022.

Apply pattern mining techniques to determine the best vehicle model with the lowest combined fuel consumption in L/100 km for the years 2020-2022.

Utilize pattern mining techniques to identify the transmission type of the best fuel-efficient model, providing insights into the transmission preferences of eco-conscious consumers.

To identify the best fuel consumption vehicle class and the lowest make for the class: Use pattern mining techniques together with machine learning to identify the lowest fuel consumption for each vehicle class and the respective lowest “Make” for the vehicle class.

Apply clustering to identify patterns in manufacturers' fuel efficiency and determine whether specific manufacturers consistently produce fuel-efficient models or if there are shifts in manufacturers' fuel efficiency over time.

The dataset contains information on fuel consumption ratings and estimated carbon dioxide emissions for new light-duty vehicles available for purchase in Canada. To facilitate comparisons across different model years, the fuel consumption ratings for vehicles from 2000 to 2022 have been adjusted to better reflect real-world driving conditions. It's important to note that these values are approximations derived from the original ratings and are not based on actual vehicle testing.