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Statistical Application Development with R and Python

You're reading from Statistical Application Development with R and Python Develop applications using data processing, statistical models, and CART

Product type Paperback

Published in Aug 2017

Publisher

ISBN-13 9781788621199

Length 432 pages

Edition 2nd Edition

Languages

Python

Concepts

Application Development

Table of Contents (12) Chapters

Preface

1. Data Characteristics FREE CHAPTER

2. Import/Export Data

3. Data Visualization

4. Exploratory Analysis

5. Statistical Inference

6. Linear Regression Analysis

7. Logistic Regression Model

8. Regression Models with Regularization

9. Classification and Regression Trees

10. CART and Beyond

Index

Index

A

abline function / What just happened?
actual probabilities / Understanding the data characteristics in an R environment
aes function / Time for action – ggplot
Akaike Information Criteria (AIC) / Criterion-based procedures
alternative hypothesis
- about / Hypothesis testing
Anaconda distribution
- reference link / IDEs for R and Python
Analysis of Variance (ANOVA)
- about / Have a go hero
- and confidence intervals / ANOVA and the confidence intervals, Time for action - ANOVA and the confidence intervals, What just happened?
- reference / ANOVA and the confidence intervals
and independent and identically distributed (iid)
- about / The simple linear regression model
ANOVA, and confidence intervals
- for multiple linear regression model / The ANOVA and confidence intervals for the multiple linear regression model, Time for action - the ANOVA and confidence intervals for the multiple linear regression model...

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