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Data Analysis, EDA and Unsupervised Machine Learning Models on Uber NY Dataset

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Unsupervised Machine Learning on Uber NY Dataset

Project Goal

We will use Unsupervised Machine Learning to create a recommendation algorithm on where Uber drivers in New York should be to maximize their chances of finding a ride.

Deliverables

  • Clean, well-commented code
  • Clean data with EDA
  • Unsupervised ML modeling with KMeans, using Elbow method
  • Vizualisation map using Folium library
  • Models implementation and comparison

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Data Analysis, EDA and Unsupervised Machine Learning Models on Uber NY Dataset

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