Final Portfolio

Document Your Knowledge:

Final Portfolio Requirements

You should have completed documenting some examples of similarity metrics and clustering. In addition to these strategies, your portfolio should include a description of an ANN, Bayesian classifier, decision tree classifier and the k-Nearest Neighbors strategy (CI chapters 4, 6, 7 & 8 as well as segments from DM).

Specific Tasks

1. In your portfolio, create a new link and page for ANN, Bayesian classifier, decision tree classifier and k-Nearest Neighbors.
2. Similar to previous portfolio assignments, each page should contain a brief description of the algorithm and an excerpt of Python code illustrating an implementation of the algorithm. Be sure to cite your sources.
3. Your description of the strategy should be approachable and explain how the algorithm works. Feel free to use images to supplement your description.

Grading Criteria (1100 points)

I must be able to pull your repository by 11:59PM Friday, Dec. 17 and see your completed portfolio.