I completed Stanford University’s Machine Learning course, offered through Coursera and taught by Andrew Ng, gaining a rigorous foundation in core machine learning concepts and algorithms. The course covered supervised and unsupervised learning, linear and logistic regression, neural networks, support vector machines, clustering, and model evaluation techniques. Through mathematical foundations and practical implementation exercises, I developed a structured understanding of how to design, train, and evaluate machine learning models for real-world applications.