| Student Age | Grade 9 to 12 |
| Requirements | Python, algorithms, and solid math. |
| Skills Learned | Algorithms, Math, Python |
| Number of Lectures | 10 |
| Lecture Status | Started |
Machine Learning (ML) is coming into its own, with a growing recognition that ML can play a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems. ML provides potential solutions in all these domains and more, and is set to be a pillar of our future civilization.
This course introduces the basics of Machine Learning theory, laying down the common themes and concepts, making it easy to follow the logic and get comfortable with the topics, such as unsupervised learning, supervised learning, classifications, and regressions.
The programming language of this course is python. Students will finish some machine learning projects that will escalate their college application portfolio.
