Can we predict hotel cancellations of our customers with their reasons?

🏨 Background

You are supporting a hotel with a project aimed to increase revenue from their room bookings. They believe that they can use data science to help them reduce the number of cancellations. This is where you come in!

They have asked you to use any appropriate methodology to identify what contributes to whether a booking will be fulfilled or cancelled. They intend to use the results of your work to reduce the chance someone cancels their booking.

💾 The Data

They have provided you with their bookings data in a file called hotel_bookings.csv, which contains the following:

Column	Description
Booking_ID	Unique identifier of the booking.
no_of_adults	The number of adults.
no_of_children	The number of children.
no_of_weekend_nights	Number of weekend nights (Saturday or Sunday).
no_of_week_nights	Number of week nights (Monday to Friday).
type_of_meal_plan	Type of meal plan included in the booking.
required_car_parking_space	Whether a car parking space is required.
room_type_reserved	The type of room reserved.
lead_time	Number of days before the arrival date the booking was made.
arrival_year	Year of arrival.
arrival_month	Month of arrival.
arrival_date	Date of the month for arrival.
market_segment_type	How the booking was made.
repeated_guest	Whether the guest has previously stayed at the hotel.
no_of_previous_cancellations	Number of previous cancellations.
no_of_previous_bookings_not_canceled	Number of previous bookings that were canceled.
avg_price_per_room	Average price per day of the booking.
no_of_special_requests	Count of special requests made as part of the booking.
booking_status	Whether the booking was canceled or not.

Source (data has been modified): https://www.kaggle.com/datasets/ahsan81/hotel-reservations-classification-dataset

💪 The Challenge

• What factors affect whether customers cancel their booking?
• Are cancellations more likely during weekends?
• Which general recommendations for the hotel can you make?

NOTE: This project is a Datacamp Competition. You can reach the competition page via Predicting hotel cancellations

🛜 API Endpoint

Testing Data 1

Testing Data 2