Practical Predictive Analysis Modeling Applied Predictive Modeling

by Max Kuhn

Practical Predictive Analysis Modeling Applied Predictive ModelingThis course covers the entire forecasting model process from the essential steps in the analysis of data preprocessing and data partitioning to the foundation of model tuning. Intuitively explains the various general regression and classification techniques, and provides an example of real data problems. This will allow you to look at some of the problems often encountered when applying real models, such as class imbalance, predictive parameter selection, and model performance reasons. In addition, the detailed R code for each example is put together, so you can study while practicing the contents of the book. This book can be used by a variety of people who want to use predictive models from textbooks for predicting model and masters courses to reference materials in actual work.

Paperback

Published December 20, 2017