The goal of the progect is predict rhe price of cars based on features parsed from the auto.ru. EDA and FeatureEngineering were carried out. The models used were RandomForestRegressor, CatBoost and XGBoost. The metric mape was used as an assessment of the quality of the models being tried.
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