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panadas

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This project analyzes Airbnb listing data to uncover trends in pricing, reviews, and availability. Using Python, it explores correlations between variables such as price, room type, and location. Visualizations and statistical insights help hosts optimize listings for better performance in competitive markets like New York.

  • Updated Oct 17, 2024
  • Jupyter Notebook

This project is a system which performs an A/B test to compare conversion rate performances between two web interfaces of a website based on the collected data impressions. In this a regression approach is also used, which considers the p value and Z scores to further verify the results and to determine the dependency between factors considered …

  • Updated Aug 20, 2020
  • Jupyter Notebook

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