LMLow Hackathon

Geographic Data Science Lab

Following on from the successes of the first three sessions of LMLOW, we are proud to announce our first ever hackathon event! The event will be entirely hands-on and provide an opportunity for individuals to gain practical experience in utilising the two methodologies that we have covered so far: (1) <A HREF="https://www.liverpool.ac.uk/geographic-data-science/news/stories/title,1002364,en.html" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Regression Trees and Gradient Boosting</A>, and (2) <A HREF="https://www.liverpool.ac.uk/geographic-data-science/news/stories/title,1007933,en.html" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Word2vec and text mining</A>. 
 
The hackathon will focus on analysing a single data set: AirBnb reviews in London provided by Inside Airbnb. The data include geographically referenced reviews for airbnb lodgings and includes a mixture of numerical and text data. The data can be found <A HREF="http://insideairbnb.com/get-the-data.html" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">here</A> (search for London). 
 
Please come prepared having examined the data source and the potential questions that could be explored using the data. During the event, individuals will be split into small teams who will identify and explore research questions utilising the two methodologies, under the guidance of our team of experts. Participants will be required to bring their own laptop with relevant statistical software pre-installed (e.g. R/RStudio, Python, QGIS etc). There will be a prize for the team who completes the best project.

GIC, 6th floor

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LMLow Hackathon

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LMLow Hackathon

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