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The Data Analysis Workshop

You're reading from  The Data Analysis Workshop

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781839211386
Pages 626 pages
Edition 1st Edition
Languages
Authors (3):
Gururajan Govindan Gururajan Govindan
Profile icon Gururajan Govindan
Shubhangi Hora Shubhangi Hora
Profile icon Shubhangi Hora
Konstantin Palagachev Konstantin Palagachev
Profile icon Konstantin Palagachev
View More author details

Table of Contents (12) Chapters

Preface
1. Bike Sharing Analysis 2. Absenteeism at Work 3. Analyzing Bank Marketing Campaign Data 4. Tackling Company Bankruptcy 5. Analyzing the Online Shopper's Purchasing Intention 6. Analysis of Credit Card Defaulters 7. Analyzing the Heart Disease Dataset 8. Analyzing Online Retail II Dataset 9. Analysis of the Energy Consumed by Appliances 10. Analyzing Air Quality Appendix

3. Analyzing Bank Marketing Campaign Data

Activity 3.01: Creating a Leaner Logistic Regression Model

  1. Start by importing the necessary Python packages:
    # import necessary libraries
    import pandas as pd
    import numpy as np
    import statsmodels.api as sm
  2. Load the data from GitHub:
    # pull data from github
    bank_data = pd.read_csv("https://raw.githubusercontent.com/"\
                            "PacktWorkshops/"\
                            "The-Data-Analysis-Workshop/master/"\
                            "Chapter03/data/bank-additional/"\
              ...
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