We've now had an introduction to several different models:
Linear regression, logistic regression, k-means, hierarchical
clustering, GMM, Naive Bayes, and decision trees.
For this assignment, I would like you to choose three models
from the above list and describe two problems that each of the
models could potentially be used to solve. You can do one big post
with all three models and six solvable problems or do three
separate posts if you prefer.
Short Explanation of Decision Trees
Decision...