Create a Comprehensive ML Tutorial Series

**Description:**
Many folders contain valuable code but lack beginner-friendly explanations. Add tutorial-style documentation in each folder to help users understand the theory and implementation of the algorithms.

**Expected Tasks:**
- Add a `README.md` to subfolders like `computer-vision`, `data-analysis`, etc., containing:
- A brief introduction to the domain.
- A step-by-step walkthrough of a key implementation (e.g., how KNN works).
- Sample input and expected output.
- Hyperlink to helpful resources (e.g., scikit-learn, Coursera, blog posts).
- Ensure the code runs correctly with the tutorial.
- Add a table of contents or index in the root `README.md` to guide users to these tutorials.

**Stretch Goal:**
- Add visual diagrams or flowcharts using Markdown-supported images or ASCII diagrams.