AhmedMnsour/Wine-price-predection-kaggle-competetion

Predict the price of a bottle of wine kaggle competition Group 1 solution as part of the african master of machine intelligence # Predict-the-price-of-a-bottle-of-wine-kaggle-competition This repo shows our proposed solution for the kaggle competition "Predict the price of a bottle of wine from it's reviews and other wine features". This solution was crafted as part of the african master of machine intelligence. The data summarize 258210 wine reviews # File description: train.csv - the training set - 175000 rows. test.csv - the test set - 83210 rows. # Data fields: country (String): The country that the wine is from. province (String): The province or state that the wine is from. region_1 (String): The wine growing area in a province or state. region_2 (String): Sometimes there are more specific regions within the wine growing area. winery (String): The winery that made the wine. variety (String): The type of grapes used to make the wine. designation (String): The vineyard within the winery where the grapes that made the wine are from. taster_name (String): taster name. taster_twitter_handle (String): taster twitter account name. review (String): A few sentences from a sommelier describing the wine's taste, smell, look, feel, etc. review_score (Numeric): Number of points WineEnthusiast rated the wine on a scale of 1-100. TARGET: price (Numeric) The cost for a bottle of wine.