{"id":21865042,"url":"https://github.com/mr-chang95/datascience_airbnb","last_synced_at":"2026-04-08T18:32:00.713Z","repository":{"id":136749770,"uuid":"449055753","full_name":"Mr-Chang95/Datascience_Airbnb","owner":"Mr-Chang95","description":"Data Science Project for Udacity's Data Scientist Program. 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Compare the two cities. \u003cbr\u003e\n    - Is it possible to predict the price with 5 features? If yes, compare the 2 cities. \u003cbr\u003e\n    - How does the price in each city change each month? Be sure to compare the 2 cities. \u003cbr\u003e\n    - How does the total number of listings change each month? Be sure to compare the 2 cities. \u003cbr\u003e\n\nI chose not to include the .csv file because I would like the extra practice of using and writing in the .gitignore file.\n\n## File Descriptions\nYou will find 4 Jupyter Notebook files in this repository. Part I mainly deals with examining and understanding the datasets. I have also answered some basic questions about the datasets in this part.\n\nThe next 3 parts deal with answering the questions that I have posed. Most of them require a bit of legwork before I could answer them.\n\nThe catboost_info folder is related to the model I tested in Part III.\n\n## Packages\nList of packages used:\n~~~~~\n- Matplotlib\n- Numpy\n- Pandas\n- Calendar\n- Seaborn\n- Scikit-learn\n~~~~~\n## Medium Article\nMedium Article Link: https://medium.com/@mr.dcny/a-study-of-airbnb-listings-seattle-boston-ff3a69646edf\n\n## Acknowledgements\nSpecial thanks to Udacity for this Data Science course project. I would also like to thank Airbnb and Kaggle for providing these datasets.\n\nHere are the links to the datasets: \u003cbr\u003e\n   - https://www.kaggle.com/airbnb/seattle/data \u003cbr\u003e\n   - https://www.kaggle.com/airbnb/boston \u003cbr\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmr-chang95%2Fdatascience_airbnb","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmr-chang95%2Fdatascience_airbnb","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmr-chang95%2Fdatascience_airbnb/lists"}