Engineering student offers individualized teaching, help with preparing for quizzes or exams. My goal is to help the student progress without overloading them. I give homework after each lesson and provide progress reports periodically.

In this course, students will dive into the exciting world of machine learning, starting with fundamental concepts such as supervised and unsupervised learning, feature engineering, and model evaluation. The course will then cover advanced topics, including neural networks, deep learning, and reinforcement learning. Through hands-on projects, students will apply their theoretical knowledge to real-world problems, such as image recognition, natural language processing, and predictive analytics. Whether you're a beginner curious about artificial intelligence or an experienced programmer looking to specialize, this course will provide you with the skills and tools you need to excel in the ever-evolving field of machine learning.