/Hotel_Cancel_Culture_v2

Revisiting the hotel reservation dataset

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Hotel_Cancel_Culture_v2

Revisiting the Hotels

Previously used this dataset for a classification project with the goal of modeling the likelihood of a given reservation canceling.

New ideas include:

  1. Time Series Modeling: uni- and multi-variate forecasts
  2. Classification: classify whether a reservation will actualize ("CheckedOut"), no-show, or cancel.
  3. Regression: ADR; number of service requests; number of cars parking
  4. Reducing to features known only prior to arrival (meals, parking, etc.)