Car price forecasting

Here there are specific topics from 5 days challenge initialized by Vladimir Alekseichenko in his MATRIX (part two) project, posted in 02-06.03.2020.

Description of particular days:

• day 1 - Colab environment, data preparation, setting up a new repository on GitHub
• day 2 - data visualization and drawing conclusions
• day 3 - starting training the model, using random forest, which will forecast the price of the car based on its attributes
• day 4 - learn about XGBoost and build a model that improves previous result
• day 5 - the hyperopt tool