Data Science Live Book


Data Science Heroes


A book to learn data science, data analysis and machine learning, suitable for all ages!


Data Science Heroes


What does it cover?

This book covers common aspects in predictive modeling:

  • A. Data Preparation / Data Profiling
  • B. Selecting best variables (dataviz)
  • C. Assessing model performance
  • D. Miscellaneous

And it is heavly based on the funModeling package from the R language . Please install before starting :)

install.packages("funModeling")

  • Model creation consumes around 10% of almost any predictive modeling project; funModeling will try to cover remaining 90%.
  • It's not only the function itself, but the explanation of how to interpret results. This brings a deeper understanding of what is being done, boosting the freedom to use that knowledge in other situations regardless of the language.

Why a live book?

Hopefully this book barerly has an end, it will be updated periodically. Next planned chapter is a case study in predictive modeling. And you can contribute! below the github link.




Book source code & bugs Github Data Science Live Book
Data Science Heroes BlogDSH Blog
Data Science Heroes Facebook and Data Science Heroes Twitter

First published at: livebook.datascienceheroes.com


This book is under Attribution-NonCommercial-ShareAlike 4.0 International license.