This contains a project performed in partial fulfillment of the requirement for graduation at the She Code Africa Mentorship Program for Cohort 4. The project deals with predicting the prices of used cars based on factors such as the car condition, mileage, odometer reading, car model, manufacturer, car type, car cylinder (fuel or gas) and the region of car sale using machine learning models.
# SCAMP-FINAL-PROJECT-CAR-DATASET
This contains the final project of the She Code Africa Cohort 4.It is part of the requirement for graduating from the Mentorship Program. The project is about predicting the prices of used cars based on features like the condition of the car, odometer reading, car model, manufacturer, car type, car cylinder, if it uses fuel or gas, and the region of car sale using machine learning algorithims and models.
The data used was gotten from kaggle
kaggle.com