---
title: "Prerequisites"
url: https://docs.catalyst.zoho.com/en/tutorials/credit-card-fraud-detection/prerequisites/
description: "Credit Card Fraud Detection, Create a powerful ML pipeline that can be used to detect the fraud in credit card transaction 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:

- [Fraud_detection](https://workdrive.zohoexternal.com/external/0b30d523d39e635f6d816ee15f8a368359908df275df0f0c66667625e8bb5d40)

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.