This project uses web scraping tools, including Selenium and Beautiful Soup, to extract auction prices from Christie's online platform. The collected data is then used to train a machine learning model to predict auction prices.
To run this project, you will need to have Python installed on your machine along with the following libraries:
- Selenium
- Beautiful Soup
- Pandas
- Scikit-learn