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Python Machine Learning Case Studies - Five Case Studies for the Data Scientist (Paperback, 1st ed.)
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Python Machine Learning Case Studies - Five Case Studies for the Data Scientist (Paperback, 1st ed.)
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Embrace machine learning approaches and Python to enable automatic
rendering of rich insights and solve business problems. The book
uses a hands-on case study-based approach to crack real-world
applications to which machine learning concepts can be applied.
These smarter machines will enable your business processes to
achieve efficiencies on minimal time and resources. Python Machine
Learning Case Studies takes you through the steps to improve
business processes and determine the pivotal points that frame
strategies. You'll see machine learning techniques that you can use
to support your products and services. Moreover you'll learn the
pros and cons of each of the machine learning concepts to help you
decide which one best suits your needs. By taking a step-by-step
approach to coding in Python you'll be able to understand the
rationale behind model selection and decisions within the machine
learning process. The book is equipped with practical examples
along with code snippets to ensure that you understand the data
science approach to solving real-world problems. What You Will
Learn Gain insights into machine learning concepts Work on
real-world applications of machine learning Learn concepts of model
selection and optimization Get a hands-on overview of Python from a
machine learning point of view Who This Book Is For Data
scientists, data analysts, artificial intelligence engineers, big
data enthusiasts, computer scientists, computer sciences students,
and capital market analysts.
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