A study on Airbnb Seatle data by the CRISP-DM approach.
-
Updated
Apr 7, 2021 - Jupyter Notebook
A study on Airbnb Seatle data by the CRISP-DM approach.
This repository contains a comprehensive analysis of the Seattle Airbnb dataset, conducted using the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology.
Prédiction des consommations électriques de bâtiment pour la ville de Seattle.
Add a description, image, and links to the seattle-data topic page so that developers can more easily learn about it.
To associate your repository with the seattle-data topic, visit your repo's landing page and select "manage topics."