The aim of this project is to predict the selling price of cars using the k-Nearest Neighbors algorithm. Thus, the target is to find the optimal number of nearest neighbors(k) and the features that best predict our target variables. The dataset contains values for various features of the cars and was collected in 1985.
The information and well as the data file can be downloaded from here.
The project was done in Jupyter Notebook, Python 3.