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The Supervised Learning Workshop Cover

The Supervised Learning Workshop

Predict outcomes from data by building your own powerful predictive models with machine learning in Python

Publisher:Packt Publishing Limited
By: ,   and    
Paid access
|Feb 2020
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Table of contents

Table of Contents

  1. Fundamentals of Supervised Learning Algorithms
  2. Exploratory Data Analysis and Visualization
  3. Linear Regression
  4. Autoregression
  5. Classification Techniques
  6. Ensemble Modeling
  7. Model Evaluation
PDF ISBN: 978-1-80020-832-2
Publisher: Packt Publishing Limited
Copyright owner: © 2020 Packt Publishing
Publication date: 2020
Language: English
Pages: 532
Related subjects:
Computer sciences,
Computer sciences, other
BISAC subjects:
COM051360,
COM044000,
COM004000
Thema subjects:
UMX,
UYQN,
UYQ

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