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Python: Real-World Data Science

You're reading from   Python: Real-World Data Science Real-World Data Science

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Product type Course
Published in Jun 2016
Publisher
ISBN-13 9781786465160
Length 1255 pages
Edition 1st Edition
Languages
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Authors (5):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
Phuong Vo.T.H Phuong Vo.T.H
Author Profile Icon Phuong Vo.T.H
Phuong Vo.T.H
Robert Layton Robert Layton
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Robert Layton
Sebastian Raschka Sebastian Raschka
Author Profile Icon Sebastian Raschka
Sebastian Raschka
Martin Czygan Martin Czygan
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Martin Czygan
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Table of Contents (12) Chapters Close

Table of Contents FREE CHAPTER
Python: Real-World Data Science
Meet Your Course Guide
What's so cool about Data Science?
Course Structure
Course Journey
The Course Roadmap and Timeline
1. Course Module 1: Python Fundamentals 2. Course Module 2: Data Analysis 3. Course Module 3: Data Mining 4. Course Module 4: Machine Learning Index

Index

A

  • absolute imports
    • about / Absolute imports
  • abstract base classes (ABCs)
    • about / Abstract base classes
    • using / Using an abstract base class
    • creating / Creating an abstract base class
    • @classmethod / Demystifying the magic
  • abstract factory pattern
    • about / The abstract factory pattern
  • abstraction
    • about / Hiding details and creating the public interface
    • examples / Hiding details and creating the public interface
    • defining / Inheritance provides abstraction
  • abstract methods
    • about / Inheritance
  • access control
    • about / Who can access my data?
  • access keys
    • about / Downloading data from a social network
  • accuracy
    • improving, dictionary used / Improving accuracy using a dictionary
  • accuracy (ACC) / Optimizing the precision and recall of a classification model
  • activation function
    • about / Artificial neural networks
  • AdaBoost / Leveraging weak learners via adaptive boosting
  • adaline
    • about / First steps...
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