MACHINE LEARNING FOR PREDICTIVE DATA ANALYTICS
Machine Learning for Predictive Data Analytics is a comprehensive guide that explores the application of machine learning techniques in predictive analytics. The book covers key concepts, algorithms, and methodologies used to build data models that can predict future outcomes based on historical data. It discusses various machine learning models, including regression, classification, decision trees, and neural networks, and demonstrates how these techniques can be implemented to solve real-world problems across industries such as healthcare, finance, marketing, and more. Designed for both beginners and professionals, the book provides practical examples, case studies, and hands-on exercises, offering valuable insights into the effective use of machine learning for data-driven decision-making and predictive analytics.