John Stamford

Lets have a quick look at using Principal component analysis (PCA) an the Iris dataset. What is PCA? The simpilistic…

My previous post ‘Outlier removal in R using IQR rule‘ has been one of the most visited posts on here.…

This part directly follows on from the Titanic Logistic Regression model we built, so you need to work through that…

So now we have cleaned the data as outlined previously we can now build our first model. Here we are…

In this section we are going to explore the dataset. This is an important step in the statistical/machine learning process…

Here we look at different predictive models using Python for data science and machine learning. The aim is to run…

Here is a list of my essential packages you will need for data science with Python. I will expand the…

I’ve been having a quick play with Scale-Invariant Feature Transform (SIFT) in Python. I had a few problems installing it…

I just thought I’d have a play about with OpenCV (Python Version) but had a few problems installing it on…

Before we start, Yes I know this is not the official image for “Theano: A CPU and GPU Math Expression…

K Means clustering is an unsupervised machine learning algorithm. An example of a supervised learning algorithm can be seen when…

I wrote a guide on using R and promised to release it once it had been approved. Anyways, here it is.…

I was recently asked to guest lecture at De Montfort University to the MSc students studying Intelligent Systems and Robotics, and…

I’ve just found my slides for a paper I wrote for the UK Computational Intelligence 2014 Conference and thought I’d…

I feel like I’ve been staring at RStudio for way too long, so I’ve decided to give Python (SciKit-Learn) another…

Hello and welcome to another R Stats adventure (using the Stampy Longnose Voice). Today we’re looking at Imputation, or the…