Mastering Predictive Analytics with R – Second Edition

Mastering Predictive Analytics with R – Second Edition begins with a dedicated chapter on the language of models and the predictive modeling process. You will understand the learning curve and the process of tidying data. Each subsequent chapter tackles a particular type of model, such as neural networks, and focuses on the three important questions of how the model works, how to use R to train it, and how to measure and assess its performance using real-world datasets. (Limited-time offer)

Table of Contents

• Gearing Up for Predictive Modeling
• Tidying Data and Measuring Performance
• Linear Regression
• Generalized Linear Models
• Neural Networks
• Support Vector Machines
• Tree-Based Methods
• Dimensionality Reduction
• Ensemble Methods
• Probabilistic Graphical Models
• Topic Modeling
• Recommendation Systems
• Scaling Up
• Deep Learning

Download Free PDF / Read Online