Articles in this series

Linear regression. Fitting a straight line to the data, beware of outliers skewing the model. This can be with single or multiple independent variables. In multiple cases it can be known as multiple or multivariate regression. Polynomial / non-lin...

If you're here then this is probably the start of something. So keep in mind that at times you'll feel like you're going in circles. Be assured you're not, take ease in the fact we all get that way. It's actually an upward spiral, and it was never go...

If machine learning has a gateway drug, it's linear regression. The reason is - it's the one we probably knew all along. I learned it at high school, all be it completely on paper and not called linear regression, but the foundation is the same. Ye...

The intro... This is one of the older ones. I’ve just looked it up and the internet assures me that k-nearest neighbours (kNN) was developed in the 1950s. It still works well today. Here we’re going to look at an application to predict whether or no...

Cluster analysis is an unsupervised machine learning method used to organise data. The approach used is to call a distance function which calculates how closely associated examples are to one another. Unlike many statistical models, cluster analysis...

This one stops a lot of people from trying, but don't despair, nothing is impossible. For machine learning, and data science generally, the breakdown you’ll see is usually along the lines of: Linear algebra Calculus Statistics Probability That’s...