Theory In this article I want to create an index for batters to see how they perform against spin bowling and pace bowling, to see which batsmen perform the best. I will use different variables to...

Theory Overview In this blog, I will be explaining the K Nearest Neighbours algorithm. This is a classification algorithm that can predict which class a new point belongs to. The way it works is...

Theory Overview The perceptron algorithm, is a learning algorithm that separates two classes of data with a line such that it can classify a new piece of data into a class accordingly. Essentiall...

Theory Overview Logistic regression is a machine learning algorithm, which is used for binary classification, for example seeing if a student passed or failed an exam, given the amount of hours th...

This is the first blog of a long series, where I will explain how common machine learning algorithms work intuitively from scratch. I hope you enjoy! Theory Overview Linear regression is a type o...