Classification is one of the most basic problems in Statistics and Machine Learning. It is an example of a supervised learning problem where one deals with labeled data. In this note, we will learn about basic classification algorithms such as
- Logistic regression
- Linear and quadratic discriminant analysis
- Naive Bayes
- Multinomial logistic regression
- \(k\)-nearest neighbours