# Ranking Models

This notebook will show you how Fiddler enables monitoring for a Ranking model. This notebook uses a public dataset from Expedia that includes shopping and purchase data with information on price competitiveness. The data are organized around a set of “search result impressions”, or the ordered list of hotels that the user sees after they search for a hotel on the Expedia website.

Click [this link to get started using Google Colab →](https://colab.research.google.com/github/fiddler-labs/fiddler-examples/blob/main/quickstart/latest/Fiddler_Quickstart_Ranking_Model.ipynb)

<div align="left"><figure><img src="https://colab.research.google.com/img/colab_favicon_256px.png" alt="Google Colab" width="188"><figcaption></figcaption></figure></div>

Or download the notebook directly from [GitHub](https://github.com/fiddler-labs/fiddler-examples/blob/main/quickstart/latest/Fiddler_Quickstart_Ranking_Model.ipynb).