---
title: "Prerequisites"
url: https://docs.catalyst.zoho.com/en/tutorials/crm-deal-prediction/prerequisites/
description: "Create a powerful ML pipeline that analyzed historic ZOHO CRM data and meaningfully predicts the likeliness of a successful deal using the Catalyst QuickML components."
last_updated: 2026-09-29T10:57:52Z
service: All Services
type: tutorial
related_links:
  - name: "Machine Learning Algorithms"
    url: /en/quickml/help/ml-algorithms/classification-algorithms/
---

# Prerequisites

Because this tutorial is focused solely on **[Catalyst QuickML](https://docs.catalyst.zoho.com/en/quickml/getting-started/introduction/)**, all tasks—including building data and ML pipelines, creating models, and training them for predictions—will be performed within the **[Catalyst console](https://console.catalyst.zoho.com/baas/index)**.

Before getting started, download the following dataset: 

**[CRM_Deal_Prediction_Sample_Dataset](https://workdrive.zohoexternal.com/external/32b8cbea341ba7a6789c6db1c1e8a58b58a05db3cb23c2ce04e3cd0b9ad4587a)**

This tutorial walks you through cleaning, refining, and preprocessing the dataset, which will be uploaded later to Catalyst QuickML for model training.