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TensorFlow: Powerful Predictive Analytics with TensorFlow

You're reading from   TensorFlow: Powerful Predictive Analytics with TensorFlow Predict valuable insights of your data with TensorFlow

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781789136913
Length 164 pages
Edition 1st Edition
Languages
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Author (1):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
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Table of Contents (6) Chapters Close

Chapter 2. Putting Data in Place – Supervised Learning for Predictive Analytics

In this lesson, we will discuss supervised learning from the theoretical and practical perspective. In particular, we will revisit the linear regression model for regression analysis discussed in Lesson 1, From Data to Decisions – Getting Started with TensorFlow, using a real dataset. Then we will see how to develop Titanic survival predictive models using Logistic Regression (LR), Random Forests, and Support Vector Machines (SVMs).

In a nutshell, the following topics will be covered in this lesson:

  • Supervised learning for predictive analytics
  • Linear regression for predictive analytics: revisited
  • Logistic regression for predictive analytics
  • Random forests for predictive analytics
  • SVMs for predictive analytics
  • A comparative analysis
You have been reading a chapter from
TensorFlow: Powerful Predictive Analytics with TensorFlow
Published in: Mar 2018
Publisher: Packt
ISBN-13: 9781789136913
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