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Introduction

Udacity project code with Boston airbnb activity dataset analysis (available on kaggle).

Usage

  1. run command "jupyter lab" on root folder
  2. project composed by boston and seattle folders with dataset (only boston is used until last git update)
  3. images where generated by code previously, and can be updated with corresponding cell execution

Recomendations

  1. create an virtual environment, to avoid local packages conflicts
  2. fell free to fork and update!

Libraries used

Pandas, Numpy, Seaborn, Sklearn, matplotlib, wordcloud

Summary analysis

  1. geoghraphical plot
  2. word cloud about users comments
  3. weekly day service usage bar plot
  4. predicting price using linear regression

Project entirely made with python

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Data analysis of airbnb activity, Boston

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