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Airbnb Data Science Project (A+)
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Led a team to code a jupyter program visualizing the airbnb Superhosts in Seattle's neighborhoods according to holistic weightage criteria set by each user, helping in getting the most budget-friendly accomodation.
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Successfully determined relationships between independent variables such as price and customer satisfaction using data analysis techniques such as linear regression, clustering etc.
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