Making predictions is easy, but getting them right is difficult. An essential part of predictive analytics is model validation – checking the quality of predictions. Those post looks at a simple model validation technique you can use with your machine learning models. Once you have trained your predictive model it needs to make good predictions… Read More »
This post looks at how to build a simple classification model with the python machine learning library scikit-learn. Building a simple classification model is fairly easy with sci-kit learn, and this post explores some of the default behaviour and sign-posts some extra work that we would want to to ensure robust predictions. I’ve tried to… Read More »
A few ways to do linear regressions on data in python. Linear regression is a simple and common technique for modelling the relationship between dependent and independent variables. This post gives you a few examples of Python linear regression libraries to help you analyse your data. Which method is best for you will probably depend… Read More »
Find out where to find sample datasets for playing with data in Python. If you’re testing or validating a model or analysis for data science or machine learning, it can be useful to have some sample data to play with. R has the datasets package which makes loading sample datasets easy, but it’s not so… Read More »