Predictive modeling in practice

“Predictive modeling in practice” covers all aspects of forecasting, starting from the key stages of pre -processing data, division of data and the basic principles of the model setting. All stages of modeling are considered in practical examples from real life, each chapter gives a detailed code in R.
This book can be used as an introduction into predictive models and a guide on their use. Readers who do not have mathematical training will evaluate intuitive explanations of specific methods, and attention paid to the solution of relevant tasks with real data will help specialists who want to improve their qualifications.
The authors tried to avoid complex formulas, to assimilate the basic material, it is enough to understand the basic statistical concepts, such as the correlation and linear regression analysis, but the study of in -depth topics will need mathematical preparation.
To work with the book, you need to have basic knowledge about R