Since this tutorial only involves Catalyst QuickML, we will be working entirely in the Catalyst console to build data and ML pipelines, create ML models and train the models to predict outcomes. Before you begin working on this tutorial, please ensure to download the below datasets:

This tutorial aims to implement cleaning, refining and pre-processing operations on the datasets and then use them to train ML models. We will be uploading these datasets to Catalyst QuickML in the later sections of this tutorial.

Last Updated 2024-04-05 23:41:34 +0530 +0530


Catalyst QuickML