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The Unsupervised Learning Workshop

You're reading from   The Unsupervised Learning Workshop Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800200708
Length 550 pages
Edition 1st Edition
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Authors (3):
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Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Christopher Kruger Christopher Kruger
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Christopher Kruger
Aaron Jones Aaron Jones
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Aaron Jones
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Toc

Table of Contents (11) Chapters Close

Preface
1. Introduction to Clustering 2. Hierarchical Clustering FREE CHAPTER 3. Neighborhood Approaches and DBSCAN 4. Dimensionality Reduction Techniques and PCA 5. Autoencoders 6. t-Distributed Stochastic Neighbor Embedding 7. Topic Modeling 8. Market Basket Analysis 9. Hotspot Analysis Appendix

8. Market Basket Analysis

Activity 8.01: Loading and Preparing Full Online Retail Data

Solution:

  1. Import the required libraries:
    import matplotlib.pyplot as plt
    import mlxtend.frequent_patterns
    import mlxtend.preprocessing
    import numpy
    import pandas
  2. Load the online retail dataset file:
    online = pandas.read_excel(io="./Online Retail.xlsx", \
                               sheet_name="Online Retail", \
                               header=0)
  3. Clean and prep the data for modeling, including turning the cleaned data into a list of lists:
    online['IsCPresent'] = (online['InvoiceNo'].astype(str)\
                  ...
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