Data Science Live Book
A book to learn data science, data analysis and machine learning, suitable for all ages!
Last update: 2017-01-29
What does it cover?
This live book (
#dsLiveBook) covers common aspects in predictive modeling:
- A. Data Preparation / Data Profiling
- B. Selecting best variables (dataviz)
- C. Scoring Data
- D. Assessing model performance
More info about methodological aspects in data preparation.
What programming language do I need?
Most of the concepts are independent from the language, the focus is on general concepts. But when technical example is required it is done in R language, using the
funModeling package which you can install by doing:
Stimulate intuition behind concepts: The explanation of how to interpret results brings a deeper understanding of what is being done, boosting the freedom to use that knowledge in other situations regardless of the language.
Regarding technical aspects.... model creation consumes around 10% of almost any predictive modeling project; the Live Book and
funModelingwill try to cover remaining 90%.
Why a live book ? Hopefully this book barely 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.
First published at: livebook.datascienceheroes.com
This book is under Attribution-NonCommercial-ShareAlike 4.0 International license.