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You're reading from  Hands-On Predictive Analytics with Python

Product typeBook
Published inDec 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789138719
Edition1st Edition
Languages
Python
Tools
TensorFlow
Concepts
Predictive Analytics
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Author (1)
Alvaro Fuentes
Alvaro Fuentes
author image
Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
Read more about Alvaro Fuentes

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Credit card default dataset

OK, time to get our hands dirty with the credit card default data. We saw the descriptions of the features back in Chapter 2, Problem Understanding and Data Preparation:

  • SEX: Gender (1 = male; 2 = female).
  • EDUCATION: Education (1 = graduate school; 2 = university; 3 = high school; 4 = others).
  • MARRIAGE: Marital status (1 = married; 2 = single; 3 = others).
  • AGE: Age (year).
  • LIMIT_BAL: Amount of the given credit (New Taiwan dollar)—it includes both the individual consumer credit and his/her family (supplementary) credit.
  • PAY_1 - PAY_6: History of past payment. We tracked the past monthly payment records (from April, 2005, to September, 2005) as follows: 0 = the repayment status in September, 2005; 1 = the repayment status in August, 2005; . . .; 6 = the repayment status in April, 2005. The measurement scale for the repayment status is: -1 = pay...
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Hands-On Predictive Analytics with Python
Published in: Dec 2018Publisher: PacktISBN-13: 9781789138719
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
Read more about Alvaro Fuentes

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