- Requires familiarity with supervised learning concepts.
- Basic knowledge of Python and linear algebra recommended.
- Ideal for students or professionals in data science and AI.
- Focuses on practical implementation of ML algorithms.
- Helps learners transition to advanced unsupervised and reinforcement learning.
