Finished Chapter 04 - Classification on Statistical Learning course - ISLR
Highlights:
Highlights:
- When doing classification you can work through different algorithms/techniques to perform classification, such as Logistic Regression, Linear and Quadratic Discrminant Analysis, Naive Bayes.
- Various important points has to be taken in account: such as Bias-Variance Trade Off, Assumption of same covariance matrix accross parameters to be estimated, independence of variables etc.
Even though I really enjoyed this chapter, I would explore a bit further by working through a pet project trying to apply those concepts.