This project was done as a part of machine learning course at Shahid Beheshti University. At first the main information of 1176 laptops is collected from Torob after that, this data is cleaned and 7 main features are extracted for the estimator. For the models, linear regression and lasso regression from scikit-learn are used.
For Collecting the data, Selenium was used. The initially collected data had a lot of missing features and many of the numericall values had strings inside them. So at first the collected data was cleaned.
For models, linear regression and lasso regression were used and the result of the models was shown via the learning curve visualizer from yellowbrick.
This Project is Distributed under the MIT license. Read LICENSE.txt for more information.
Sina Taheri - sinatb.dev@gmail.com , @sina_t_b (Telegram)