Preface
About
This section briefly introduces the authors, the coverage of this book, the technical skills you'll need to get started, and the hardware and software requirements required to complete all of the included activities and exercises.
About the Book
Unsupervised learning is a useful and practical solution in situations where labeled data is not available.
Applied Unsupervised Learning with Python guides you through the best practices for using unsupervised learning techniques in tandem with Python libraries to extract meaningful information from unstructured data. The book begins by explaining how basic clustering works to find similar data points in a dataset. Once you are well-versed with the k-means algorithm and how it ...
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