Rental Clustering & Price Prediction Project (R)

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Keywords

PCA, Hierarchical Clustering, Unsupervised Learning, Data Visualization, Variable Selection, Automated program.

Highlight

I designed an automated R program that evaluates neighborhood quality around a user’s desired lodging location using unsupervised learning techniques. The motivation came from a personal experience: I once booked a vacation rental online that looked perfect in photos, but upon arrival, I realized I had paid four-star hotel prices for a place in a poorly maintained and unsafe neighborhood. This program aims to help users avoid similar situations by providing a quality rating based on the approximate location of a property.