---
title: "Prerequisites"
url: https://docs.catalyst.zoho.com/en/tutorials/cancer-detection/prerequisites/
description: "Create and configure a powerful ML pipeline that can be used to predict the chances of being affected by breast cancer using the Catalyst QuickML service."
last_updated: 2026-09-29T10:57:52Z
service: All Services
type: tutorial
related_links:
  - name: "Catalyst QuickML"
    url: /en/quickml/getting-started/introduction/
---

# Prerequisites

This tutorial will guide you through building data and ML pipelines, creating models, and training them to predict outcomes using Catalyst QuickML in the **[Catalyst console](https://console.catalyst.zoho.com/baas/index)**. Before starting, make sure to download the following datasets:

* **[Cancer_detection_A](https://workdrive.zohoexternal.com/external/4973ea52565b9669680b95565145022d3b49c673976027b3120b6f7a3443a9d9)**

* **[Cancer_detection_B](https://workdrive.zohoexternal.com/external/d68a54ed9e663eb654b0d23d09e32c3352309f5b23b2624fdbe6b1ec87ebe8dd)**

Later, we'll be uploading these datasets to Catalyst QuickML for further use.