Predicting countries which will be booked by Airbnb users as their first booking.
• Analyzed Airbnb customer data of over 0.2 million to solve a multi-label, class-imbalance classification problem.
• Preprocessed the data using techniques like predict missing values using weighted-imputation, Binning, Stratified Sampling,
• Binarization of categorical data.
• Designed a model to predict the country of destination of users on Airbnb using Artificial Neural Network (ANN), XGBoost Classifier and Naïve Bayes algorithm
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• The system would help Airbnb to : Provide personalized experience to users o Decrease the average time of first booking o Better forecast demand o Targeting the correct audience o It is not just limited to Airbnb and can be extended and used in any industry for Advertising and targeting correct audience.
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ankit13jain/Airbnb-New-User-Booking
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• The system would help Airbnb to : Provide personalized experience to users o Decrease the average time of first booking o Better forecast demand o Targeting the correct audience o It is not just limited to Airbnb and can be extended and used in any industry for Advertising and targeting correct audience.
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