Hands-On Machine Learning from Scratch: Develop a Deeper Understanding of Machine Learning Models by Implementing Them from Scratch in Python Front Cover

Hands-On Machine Learning from Scratch: Develop a Deeper Understanding of Machine Learning Models by Implementing Them from Scratch in Python

  • Length: 141 pages
  • Edition: 1
  • Publication Date: 2019-06-27
  • ISBN-10: B07TKYBGJD
Description

“What I cannot create, I do not understand” – Richard Feynman

This book is your guide on your journey to deeper Machine Learning understanding by developing algorithms from scratch.

But why this book?

  • Step-by-step guide on how to approach, visualize and solve data science problems
  • Learn why and when Machine Learning is the right tool for the job
  • Learn how to process CSV, text, and image data
  • Develop Linear Regression, Logistic Regression, Decision Tree, Neural Network, and other models. Use your models to solve real-world problems.
  • Find how to improve low performing models
  • Learn how to use Python libraries like NumPy, Pandas, Seaborn and more
  • Complete source code (notebooks) that works and runs in the cloud
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