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Data Science Revealed

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Cover of 'Data Science Revealed'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Simple Linear Regression
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    Chapter 2 Advanced Parametric Methods
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    Chapter 3 Time-Series Analysis
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    Chapter 4 High-Quality Time-Series Analysis
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    Chapter 5 Logistic Regression Analysis
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    Chapter 6 Dimension Reduction and Multivariate Analysis Using Linear Discriminant Analysis
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    Chapter 7 Finding Hyperplanes Using Support Vectors
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    Chapter 8 Classification Using Decision Trees
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    Chapter 9 Back to the Classics
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    Chapter 10 Cluster Analysis
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    Chapter 11 Survival Analysis
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    Chapter 12 Neural Networks
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    Chapter 13 Machine Learning Using H2O
Attention for Chapter 6: Dimension Reduction and Multivariate Analysis Using Linear Discriminant Analysis
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Citations

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