I am applying for UNSW portfolio entry, it requires a "video that demonstrates my engineering ability" or something like that.
What are some suggestions in what I can do.
# Machine learning engineer
- Use stable diffusion to generate an image.
- For the Iris data set create an SVM model to perform classification # You don't really understand how the code works. Just find some code online and explain the results
- Read the first couple of chapters of Operations Research: Applications and Algorithms. Then discuss in a video the importance of operations research in engineering.
- Explain the differences between supervised/unsupervised machine learning. Mention KNN classifier, KNN regression, K-Means # These algorithms are all based on pythagoras theorem. So should be easy to understand