|Data Science Using Python and R (Wiley)|
|Wednesday, 07 August 2019|
This book is written for the general reader with no previous analytics or programming experience. Authors Chantal D. Larose and Daniel T. Larose start with a chapter on the basics of Python and R, followed by chapters presenting step-by-step instructions and walkthroughs for solving data science problems using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining.
Author: Chantal D. Larose and Daniel T. Larose
For more Book Watch just click.
Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.
To have new titles included in Book Watch contact BookWatch@i-programmer.info