Building a ML model to predict whether the customer will apply for the claim or not with deployment.
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Updated
Nov 26, 2020 - Jupyter Notebook
Building a ML model to predict whether the customer will apply for the claim or not with deployment.
In the hotel industry, cancellations represent a revenue management challenge, as hotels find themselves at risk of having empty rooms when a customer cancels a reservation, in addition to the cost of honoring existing reservations. The aim of this notebook is to develop a predictive model to reduce the cancellation rate from 42% to 20%.
Project investigating flight on time performance in USA (Jan-Apr 2008)
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