MachineHack, in association with Analytics India Magazine, has come up with yet another hackathon for the machine learning community — the Workation Price Prediction Challenge.

In the light of the new normal, different websites have started providing packages to work from different locations. The concept of workation — a portmanteau of work and vacation– is gaining currency. However, it is challenging to find a good place with all the amenities, including high-speed internet and a comfortable stay within the budget.

Thus, to solve the real-world problem of finding the best deals for workations, MachineHack is challenging the machine learning community to build a model for predicting the price per person for workation trips.

To facilitate this, MachineHack has collected workation packages in and around India — starting from Kashmir to Kanyakumari and from Gujarat to Assam. The data has more than 18000+ rows of different packages with details like start location, hotel type, cost per person, destination, itinerary, and many more. Using this dataset, along with the knowledge of machine learning, deep learning, and model building, the participants need to create a model that can efficiently and accurately predict a workation trip’s expense.

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