This month sees us continue our amble through the contents of Introduction to Statistical Learning, by examining Logistic Regression models and their applications.

We'll get our hands dirty and do some coding, tackling a problem hosted by Kaggle, the Machine Learning competition site.

Regression is a family of techniques for predictive modelling, which means it spits out a predicted value for each input value. At a really basic level, Linear Regression plots a 'line of best fit' to do this.

A new group- machine learning, experimenting with the Titanic Survivor data sets.