A Python-based Fuzzy Logic system (Mamdani & Sugeno) to evaluate and classify vehicle performance based on engine capacity, fuel efficiency, and price using 2019-2020 market data.
The purpose of this analysis is to help Mechacar's Manufacturing team to understand what car features impact car performance the most. The manufacturing team will incorporate the insights into the manufacturing process aiming to produce the best performing cars in the market, rebrand the company image, and regain market share.
Exploratory data analysis of the classic mtcars dataset, examining mileage, horsepower, weight, cylinders, and performance metrics. Includes visualizations, correlations, and key insights into how car specifications impact fuel efficiency and speed.
Add a description, image, and links to the vehicle-performance topic page so that developers can more easily learn about it.
To associate your repository with the vehicle-performance topic, visit your repo's landing page and select "manage topics."