## Overview and Problem Statement

These are real world complaints received about financial products and services. Each complaint has been labeled with a specific product; therefore, this is a supervised text classification problem. With the aim to classify future complaints based on its content, we used different machine learning algorithms can make more accurate predictions (i.e., classify the complaint in one of the product categories)

The dataset contains different information of complaints that customers have made about multiple products and services in the financial sector, such as Credit Reports, Student Loans, Money Transfer, etc.
The date of each complaint ranges from November 2011 to May 2019. Can you reliably predict what type of product has complaints?

## Goal:

The participant has to develop a classifier model which classifies the ‘Product' as, 
* 'Personal consumer reports'
* 'Debt collection'
* 'Mortgage'
* 'Credit reporting'
* 'Checking or savings account'
* 'Credit card'
* 'Bank account or service'
* 'Student loan'
* 'Money service'
* 'Vehicle loan or lease'
* 'Consumer Loan'
* 'Personal loan'
* 'Payday loan'
* 'Money transfers'
* 'Prepaid card'
* 'Other financial service'
* 'Virtual currency'