## What K-Means

In which we investigate K-means clustering, a common unsupervised clustering technique for analyzing data.

In which we investigate K-means clustering, a common unsupervised clustering technique for analyzing data.

We discuss support vector machines, a very powerful and versatile machine learning model.

I describe Naive Bayes, a commonly-used generative model for a variety of classification tasks.

I describe logistic-regression, one of the cornerstone algorithms of the modern-day machine learning toolkit.

I describe the basics of linear regression, one of the most common and widely used machine learning techniques.

A discussion of the most important skills necessary for being an effective machine learning engineer or data scientist.