Used-cars-in-KSA
OpenML dataset with id 43789
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/22102614/Used-cars-in-KSA.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 11 (numeric: 4, symbolic: 0 and in total binary: 0 )
Number of instances: 1,220
Number of instances with missing values: 1,220
Number of missing values: 8,479
This project display used cars in many different brands to pay. The number of used cars in the website is 1219 cars, I create data frame for them and each car has 9 features and the prediction of this data is car's price.
I choice used cars in the project in order to use machine learning to predict car's price. Assign fair price for used car has a big issue depend on their features after usr it. So, I tried to collect as much as I can of features to give a good chance for ML to allocate a best price for car.
The kind of modeling that match with my data is supervised model because it includes label 'car_price' and use regression type because the target is number. Additionally, it can be used recommender system in this data .
This page was built for dataset: Used-cars-in-KSA
