The clue of this project was to download a instances of 14.000 motorcycles from website try too find a great model with can predict prices
In scrapper I have created a tool with download a Data from website
CSV contain cleaned csv file of motorcycles data
encoder contains a One Hot Encoder uses to properly encode input data
models contains models (NN, XGBoost, GradientBoost)
You just need to run get_price.py and pass the features of motorcycle:
Unfortunatelly the data set is to small to make a properly working model. I ll try to increase the size of data set in the future in order to crate best engine.