Predictive Analytics

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.

This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics.

Step-by-step guide to build high performing predictive applications. Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects.

Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms.

Learn advanced techniques to improve the performance and quality of your predictive models.

A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics.

Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions.