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Design a model to determine an appropriate listing price for a new listing on Airbnb. Instead of predicting the actual listing price using regression, the objective is to predict which pricing bin or range is appropriate for a new listing
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Input: summary and image (7627) for a training dataset.
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Output: price (7627).
text preprocessing -> tokenization and vectorization each text ->training the model -> classification and prediction.
We have a Uncleaned and untranslated Unbalanced data set so maybe will take some time to preprocess it and train it.
Predicting the actual price class beginner, plus, premium and Type
Using Dropout with Drop rate of 0.3