A new dealer ship has asked us to build a model to predict the prices of used luxury cars mainly Merc, BMW, and Audi and they want to automate the pricing process to achive three things:
- Accuracy
- Speed
- Reduce cost
Proposal- Folder containing the project's proposal
MVP- Folder containing the project's Minimum vaiable product
Code_Slides_writeup- Folder containing the project's notebook (in code folder), PowerPoint presentation (in slides folder), and a summery (in writeup folder)
Open the notebook in jupyter notebook to view the code and technical details, or read the slides for a quick view about our findings, or visit the project's DashBoard.
We found that there are 6 features which affect the price, which are:
1- Year- The newer the car the more expensive it is.
2- Cylinders- A great number of cylinders indicate that the car is ethier sporty or high end.
3- Is the car electrical- Electric cars are more expensive then non-electric electric.
4- MPG- Expensive cars have low mpg.(because they have bigger engines. see point 2).
5- Mileage- The more mileage the car have the lower it price become.
6- Gears- High end cars tend to have a great number of gears.
I would like to thank my teammates Rashed AlHilal, and Amena AlSamah for their amazing work and support.
1- Hazim Bukhari
2- Amena AlSamah
3- Rashed AlHilal