Machine Learning: From Fundamentals to Real-World Applications
About This Course
This course provides a comprehensive introduction to Machine Learning (ML), guiding learners from core concepts to practical implementation using real-world datasets. Students will learn how machines learn from data, build predictive models, and apply machine learning techniques to solve problems across industries such as healthcare, finance, business, and science.
The course emphasizes hands-on learning with Python, covering data preprocessing, model training, evaluation, and deployment. By the end of the course, learners will have the skills to design, train, and evaluate machine learning models and integrate them into real applications.
Instructor
Dr. SALIM YAKUBU
Certified educator with real-world industry experience.
Course Content
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Fundamentals of Machine Learning and Artificial Intelligence
Video lesson -
Supervised, Unsupervised, and Reinforcement Learning techniques
Video lesson