This project, developed for the Data Mining and Machine Learning course, aims to predict the price of used cars using various data mining techniques. The dataset used in this project was obtained by scraping the AutoScout24 website. Algorithms used are linear regression, 5-NN, M5-Rules, random forest, rep-tree with 10-fold cross validation for train and test splitting.
The repository might contain the following:
- Notebooks for preprocessing
- Scraping Source code files
- Data files
- Documentation