machine Learning
This course provides a comprehensive introduction to machine learning, focusing on its principles, techniques, and applications. Students will explore supervised, unsupervised, and reinforcement learning methods, developing the skills to build predictive models, identify patterns in data, and make data-driven decisions. Key topics include linear regression, decision trees, clustering, neural networks, and deep learning. Through hands-on […]