Problem type

Supervised learning regression

Models

XGBoost

Project realisation date

September 2019

This project is the fourth of a series of seven projects to be delivered as part of the Udacity DataScience Nanodegree self-study.

Within the course, in order to develop our communication skills as DataScientist, we are asked to pick a dataset available on the Internet. There are suggestions but we can take any dataset as soon as we explore it and follow the CRISP-DM process:

  • Business Understanding
  • Data Understanding
  • Data Preparation
  • Modeling
  • Evaluation
  • Deployment

I chose to use datasets from Airbnb and, as a french people, I chose Paris as the city to analyze.
You cand find here my blog post about this project.

For more details, please refer to my Github repository for this project.