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Prediction of hotel booking cancellations (cancelled vs. not cancelled). The identified model reaches an accuracy of 87% and helps hotels maximizing their revenues through optimal occupancy.

MIT license

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data		data
models		models
notebooks		notebooks
references		references
reports/figures		reports/figures
src		src
.gitattributes		.gitattributes
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt

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Hotel-Booking-ML

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Prediction of hotel booking cancellations (cancelled vs. not cancelled). The identified model reaches an accuracy of 87% and helps hotels maximizing their revenues through optimal occupancy.

machine-learning neural-networks classification