Great start to the subject matter - kept me engaged and fascinated as I worked through the initial chapters.
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.
Numerous updates in this brand new edition include: an introduction to the vtreat data preparation tool, a section on model explanation, and additional modeling techniques such as boosting and regularized regression!
vtreatpackage for automatically treating missing variables
all chapters available
placing your order...Don't refresh or navigate away from the page.
Gives really good practical insight into the data science process, not just concentrating on the mechanical parts, but covering the business aspects also.
Extensive, detailed, and fast-paced.