Machine-Learning-Stanford-Andrew-Ng
Machine Learning Stanford Andrew Ng is a comprehensive repository containing complete solutions to programming assignments and quizzes for the Machine Learning course on Coursera taught by Andrew Ng of Stanford University. Designed for students and developers, this collection serves as a reference tool to verify understanding of machine learning algorithms. Users are encouraged to attempt all problems independently before consulting the provided code for guidance or debugging support. The project covers the full eleven-week curriculum, including linear and logistic regression, regularization, neural networks for representation and learning, multi-class classification, support vector machines, unsupervised learning, dimensionality reduction via principal component analysis, anomaly detection, recommender systems, and large-scale learning techniques. It also includes lecture slides, quiz solutions, and implementation details for practical applications like photo OCR and machine learning system design. The code