What is the difference between linear discriminant analysis and logistic regression?

While studying multivariate statistics, I have learned that many of the functions to perform multivariate statistic computations can actually be found in Python’s machine learning library, sklearn.

The multivariate statistical functions that I am aware of that are methods in sklearn are:-

• Principal component analysis,
• Linear regression,
• Logistic regression,
• Canonical correlation analysis,
• Factor analysis,
• Kmeans clustering,
• Hierarchical clustering, and
• Linear discriminant analysis.

I am familiar with Python’s machine learning library, sklearn, because I began my journey into data science using the data science website, Kaggle. I studied machine learning before statistics, so I was familiar with some of these functions already.

Linear discriminant analysis

Linear discriminant analysis is a method that can be found in sklearn, but it is a function in multivariate statistics. One reason for this is because statistics has predated machine learning. Machine learning became a scientific endeavour in the 1950’s, while statistics…