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The Applied Artificial Intelligence Workshop

You're reading from  The Applied Artificial Intelligence Workshop

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781800205819
Pages 420 pages
Edition 1st Edition
Languages
Authors (3):
Anthony So Anthony So
Profile icon Anthony So
William So William So
Profile icon William So
Zsolt Nagy Zsolt Nagy
Profile icon Zsolt Nagy
View More author details

Table of Contents (8) Chapters

Preface
1. Introduction to Artificial Intelligence 2. An Introduction to Regression 3. An Introduction to Classification 4. An Introduction to Decision Trees 5. Artificial Intelligence: Clustering 6. Neural Networks and Deep Learning Appendix

5. Artificial Intelligence: Clustering

Activity 5.01: Clustering Sales Data Using K-Means

Solution:

  1. Open a new Jupyter Notebook file.
  2. Load the dataset as a DataFrame and inspect the data:
    import pandas as pd
    file_url = 'https://raw.githubusercontent.com/'\
               'PacktWorkshops/'\
               'The-Applied-Artificial-Intelligence-Workshop/'\
               'master/Datasets/'\
               'Sales_Transactions_Dataset_Weekly.csv'
    df = pd.read_csv(file_url)
    df

    The output of df is as follows:

    Figure 5.18: Output showing the contents of the dataset

    If you look at the output, you will notice that our dataset contains 811 rows, with each row representing a product. It also contains 107 columns, with the first column...

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