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.

<ASIN:1119526817>

 

Author: Chantal D. Larose and Daniel T. Larose
Publisher: Wiley
Date: April 2019
Pages: 240
ISBN: 978-1119526810
Print: 1119526817
Kindle: B07NQZF8W2
Audience: people interested in data science
Level: Intermediate
Category: Data Science

 

For recommendations of Data science books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

 

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