Wine Rating Prediction
نویسنده
چکیده
In this project, we want to predict rating points of wines based on the historical reviews from experts. The wine data is scraped from WineEnthusiast[1] and we used the price, wine variety and several winery location related information as the training features, and output the predicted rating for a wine. Since the desired output was a real-number value of rating, We focused on exploring a variety of linear regression models and also explored one neural network model. We were able to get 5.711 Mean Square Error(MSE) on testing data.
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