Machine Learning Explained The Simple Way: A Beginners Guide to Learning Python for Data Science, Machine Learning and Ace your Data Science Interview With little Coding Experience.

Machine Learning Explained The Simple Way: A Beginners Guide to Learning Python for Data Science, Machine Learning and Ace your Data Science Interview With little Coding Experience. book cover

Machine Learning Explained The Simple Way: A Beginners Guide to Learning Python for Data Science, Machine Learning and Ace your Data Science Interview With little Coding Experience.

Author(s): Santos Ozoemena (Author)

  • Publisher: Independently published
  • Publication Date: 31 Oct. 2022
  • Language: English
  • Print length: 216 pages
  • ISBN-10: B0BLBBNTV4
  • ISBN-13: 9798803622086

Book Description

The world of Python & Data Science is booming! Hurry and get a piece of the pie.
Data Science is one of the
most popular, lucrative and highly desirable skill set out there.

Learning it — and mastering the craft — is a walk in the park when you have the right guidance.

In Machine Learning Explained the Simple Way, you will discover:

  • How to become a master in Data Science.
  • All the details you need to know when it comes to machine learning algorithms, and other essential skills
  • An entire python library for Data Science that you can easily learn (without the need for an extensive coding background)
  • Why Data Science is one of the most popular and sought-after skill in the world — and what it can do for your future
  • A thorough, step-by-step guide that will give you everything you need to know to Ace your Data Science interview
  • How to install the right Data Science Python programs — no matter what kind of software you’re using
  • Basic Data Science case studies that will help you get started in your Data Science journey today


And so much more.

Learning Data Science is simpler than you think. Data Science for Beginners is catered specifically to you: it makes the complex concepts and code very easy to understand, take in, and apply.

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