Overview
Who this competition fits
Beginners who want a low-friction first competition on a learning platform with DataLab notebooks.
Read the original official blurb
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. Create a report that covers the following: Scoring notes: This competition is for helping to understand how competitions work. This competition will not be judged.
Preparation
From registration to a first submission
- 01
Python or R basics
- 02
DataCamp / DataLab workflow
- 03
pandas or tidyverse
Before you commit: Even learning competitions can stall if you have never turned analysis into a clean submission notebook.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- DataCamp
- Last checked
- Mar 2, 2023