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When a customer places an order, the order may or may not be canceled later. To assist the hotel in minimizing losses it is necessary to analyze and predict the factors that lead customers to cancel their orders using machine learning model.

Home Page: https://drive.google.com/file/d/10-vEe8LrDyqL3rQ5xvTKSCPkE1MsJ-xp/view?usp=sharing

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classification datascience gradientboosting hotelbooking logisticregression machinelearning randomforest

hotel_cancelation_order's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @ririraissa
  • ๐Ÿ‘€ Iโ€™m a bachelor of Engineering Physics from Bandung Institute of Technology (ITB)
  • ๐ŸŒฑ Iโ€™m currently learning and have a big interest in the filed of Data Science
  • ๐Ÿ’ž๏ธ I love data especially how to extract insight from Exploratory Data Analysis and finding best model
  • ๐Ÿ“ซ Hit me up on riri.raissa12@gmail or just dm me in LinkedIn!

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