New York Airbnb Price Prediction

Goals:

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Build a model to predict Airbnb rooms price in New York.

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I will analyse the dataset from different perspectives, with the main focus on understanding what are the most important variables that determine the price of a listing.

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Solutions:

• Perform some descriptive analysis to get a picture of the data.

• Build a prediction model for predicting price using the variables of choice with random forest regression.

• Finally, I will try to understand the impact of the review name on the price.

  • Generate 10 most frequent words that appear in the listing column.

  • General and remove stopwords. ( English stopwords and other expressions I need to exclude to get some meaningful results)

  • Finally, test whether the regression model that I created in the previous step can be improved by including these 10 new columns as predictors.

Results: 

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​The prediction model with 10 most frequent words has a better performance.

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Click Here to see the dataset, some interesting findins and Jupyter Notebooks.