Fairly Report Builder Tutorial with Kubeflow's Jupyter Notebook
Welcome to the Fairly report builder tutorial, which will walk you through a complete data science pipeline integrated with Fairly.
In this tutorial you will analyze lending behavior in the U.S mortgage market, starting with a dataset, creating an accurate and debiased machine learning model* and finally generating a Model Development Report based on your results. The tutorial takes approximately 45 minutes and is set up as follows:
Request to download the Fairly Tutorial using the form below.
Once you received the Fairly Tutorial email from us, follow the instructions in the email and see the process in action!
If you have any questions or require any assistance, please contact us at firstname.lastname@example.org.
If you would like to upgrade to a full SR11-7 model validation or model development report, please contact us at email@example.com.
*Accuracy and Bias are statistical measures which depend on the context of evaluation and dataset from which the model was developed.
A preview of the Fairly report builder tutorial: