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  1. An in-depth python analysis of over 80 million Expedia flight searches. - Expedia-Search-Analysis/README.md at main · jcasey2020/Expedia-Search-Analysis

  2. An in-depth python analysis of over 80 million Expedia flight searches. Extensive data cleaning including parsing ISO 8601 dates and durations. Analysis includes utilization of pandas, numpy, sklearn, pydotplus, seaborn, random and datetime packages. The linked Jupyter Notebook has three findings.

  3. To keep earning and using OneKeyCash™, you'll need to keep your region as the US. One Key™ is a new rewards program for the US only for now. To stay with your current rewards (where applicable), keep your region the same. You can only access your trip information and Expedia Rewards points from the Expedia site you booked on.

  4. List of favourites Expedia Rewards Customer support Feedback List your property. English · CAD $ ·. Hotels. Flights. Cars. Vacation packages. Things to do. More travel. Cruises Deals Groups & meetings.

  5. 9 Μαΐ 2020 · Problem Statement. The goal of this project was to contextualize customer data and predict, out of 100 hotel groups, which group the user would stay at. Each user would be given an ID, and based on...

  6. 8 Μαΐ 2023 · Explore web scraping Expedia for valuable travel data, learn essential techniques, and discover ethical data extraction practices in our comprehensive guide.

  7. Data Analytics Models run on Expedia dataset using Python. Includes Regression, Clustering, and Classification Algorithms.