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Python Machine Learning Case Studies

Five Case Studies for the Data Scientist

  • Book
  • © 2017

Overview

Authors:
  1. Danish Haroon

    1. Karachi, Pakistan

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  • Applies a case study-based approach to machine learning
  • Gives you insights into the core concepts of machine learning and optimization techniques
  • Uses Python as an aid to implement machine learning

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Statistics and Probability

    • Danish Haroon
    Pages 1-43

  3. Regression

    • Danish Haroon
    Pages 45-94

  4. Time Series

    • Danish Haroon
    Pages 95-128

  5. Clustering

    • Danish Haroon
    Pages 129-160

  6. Classification

    • Danish Haroon
    Pages 161-196

  7. Back Matter

    Pages 197-204
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Keywords

About this book

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 bookis 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.





Authors and Affiliations

  • Karachi, Pakistan

    Danish Haroon

About the author

Danish Haroon currently leads the Data Sciences team at Market IQ Inc, a patented predictive analytics platform focused on providing actionable, real-time intelligence, culled from sentiment inflection points. He received his MBA from Karachi School for Business and Leadership, having served corporate clients and their data analytics requirements. Most recently, he led the data commercialization team at PredictifyME, a startup focused on providing predictive analytics for demand planning and real estate markets in the US market. His current research focuses on the amalgam of data sciences for improved customer experiences (CX).

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