- Basic Python programming is recommended, but ML experience is optional.
- Understanding linear algebra and statistics can make learning faster.
- The course explains fundamental deep learning concepts from scratch.
- Prior experience with NumPy or Pandas can help with data handling.
- Motivated beginners can still follow along using the course examples.
