You're reading from The Data Analysis Workshop

Product typeBook

Published inJul 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781839211386

Edition1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Science

Authors (3):

Gururajan Govindan

Shubhangi Hora

Konstantin Palagachev

View More author details

Introduction

In the previous chapter, we analyzed online shoppers' purchasing intent and derived various useful insights from our findings. We explored and utilized the K-means clustering technique, along with univariate and bivariate analysis, and also studied the linear relationships between each feature of the dataset to build a proper evaluation of the dataset. The results derived from the analysis would help a business to identify the pain points and develop new business strategies to tackle them.

In this chapter, we will analyze credit card payments of customers and use their transactional data to study the characteristics of the customers who are most likely to default, eventually building a profile of these customers.

Credit card default has been a field of interest and extensive analysis for more than a decade. There are two types of loan – secured and unsecured. A secured loan is one where some collateral is mandatory, so whenever a default happens, the...

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The Data Analysis Workshop

Published in: Jul 2020Publisher: PacktISBN-13: 9781839211386

Authors (3)

Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.
Read more about Gururajan Govindan

Shubhangi Hora

Shubhangi Hora is a data scientist, Python developer, and published writer. With a background in computer science and psychology, she is particularly passionate about healthcare-related AI, including mental health. Shubhangi is also a trained musician.
Read more about Shubhangi Hora

Konstantin Palagachev

Konstantin Palagachev holds a Ph.D. in applied mathematics and optimization, with an interest in operations research and data analysis. He is recognized for his passion for delivering data-driven solutions and expertise in the area of urban mobility, autonomous driving, insurance, and finance. He is also a devoted coach and mentor, dedicated to sharing his knowledge and passion for data science.
Read more about Konstantin Palagachev

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