Business Analytics R 2e

by Roberto García-Castro

Learn how to make business analytics using R code. This book covers the following Regression Analysis, Logistic Regression, k-NN Models, Naive Bayes, Decision Trees, Neural Networks, Association Rules, Collaborative Filtering, Cluster Analysis, Time Series Forecasting, Ensembles, Causal Models, and Uplift Modeling. The data sets used include examples from Apple, Samsung, Google and Microsoft in the global smartphone industry, Netflix, eBay, fashion online retailers, New York City flights, and CSR practices. The R code and data necessary to replicate all the models presented are included in each chapter so that students can run the code while reading the accompanying explanations. As this book has been written in R Markdown, the reader reproducing the code can expect to get identical results, models and graphs.

246 pages, Paperback

Published June 11, 2021