Intro to Machine Learning and Statistical Pattern Classification Course

"Intro to Machine Learning and Statistical Pattern Classification" provides a solid foundation in machine learning and pattern recognition. This course introduces key concepts and techniques in statistical pattern classification, covering both supervised and unsupervised learning methods. You'll gain practical skills in implementing core algorithms such as decision trees and support vector machines, and learn to apply these techniques to real-world problems. Through hands-on exercises and case studies, you'll build a strong basis for further study in machine learning and data science.