---
title: "Prerequisites"
url: https://docs.catalyst.zoho.com/en/tutorials/churn-for-bank-customers/prerequisites/
description: "Churn For Bank Customers, Create a powerful ML pipeline that can be used to predict the churn using the Catalyst QuickML service."
last_updated: 2024-06-04T16:14:02Z
service: All Services
type: tutorial
related_links:
  - name: "Machine Learning Algorithms"
    url: /en/quickml/help/ml-algorithms/classification-algorithms/
---

# Prerequisites

Since this tutorial involves only [Catalyst QuickML](https://docs.catalyst.zoho.com/en/quickml/getting-started/introduction/), we will be working entirely in the [Catalyst console](https://console.catalyst.zoho.com/baas/index) to build data and [ML pipelines](https://docs.catalyst.zoho.com/en/quickml/help/create-ml-pipeline/), create ML models, and train the models to predict outcomes. Before you begin working on this tutorial, please download the below dataset:

- [Bank_Customers_Sample_Data](https://workdrive.zohoexternal.com/external/324bcf5f911d2d056c4b75d4c6a534ac2b139fb390d0812df7165c1965725083)

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 the dataset to Catalyst QuickML in the later sections of this tutorial.