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Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale
Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale

Build effective regression models in R to extract valuable insights from real data

Key Features

  • Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values
  • From Simple Linear Regression...
Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data
Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data

Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.

Key Features

  • Get up and running with the Jupyter ecosystem and some example datasets
  • Learn about key machine...
Learn RStudio IDE: Quick, Effective, and Productive Data Science
Learn RStudio IDE: Quick, Effective, and Productive Data Science
Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and...
Analyzing Baseball Data with R (Chapman & Hall/CRC The R Series)
Analyzing Baseball Data with R (Chapman & Hall/CRC The R Series)

With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It...

Mathematical Statistics with Resampling and R
Mathematical Statistics with Resampling and R
This book bridges the latest software applications with the benefits of modern resampling techniques

Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques...

Spatial Data Analysis in Ecology and Agriculture Using R
Spatial Data Analysis in Ecology and Agriculture Using R

Key features:

  • Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R
  • Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study
  • ...
Fashion Supply Chain Management in Asia: Concepts, Models, and Cases (Springer Series in Fashion Business)
Fashion Supply Chain Management in Asia: Concepts, Models, and Cases (Springer Series in Fashion Business)
This book serves as a comprehensive guide to understanding the theories and applications in managing the Asian fashion supply chain, presenting both quantitative and exploratory studies. Providing academicians and practitioners insights into the latest developments and models, it also offers diverse perspectives on areas like strategic...
  
   
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