Description of Invention
This research aims to identify key factors affecting car prices, using data from Mishree Bagdai (2023), which includes various car models and manufacturers. A Machine Learning algorithm will be employed for regression analysis to predict car prices based on important features. The study will follow the CRISP-DM methodology, a structured process for conducting data science research, including planning, observing, and analyzing data. The base price of a car, along with additional features, determines the Manufacturer Suggested Retail Price (MSRP), and this research focuses on discovering the features that have the greatest impact on car price.