• Nov 20, 2015

  Analysing and predicting customer churn using Pandas, Scikit-Learn and Seaborn

  A report outlining all steps around analysing, visualising, understanding and predicting customer churn-behaviour based on an actual dataset. All data/code is open and available on Github.

  
  
• Sep 13, 2015

  Visualising high-dimensional datasets using PCA and tSNE

  A walkthrough of using PCA and tSNE to perform dimensionality reduction on high-dimensional datasets in order to allow for visual exploration of the data. All code is in Python and uses the Scikit-Learn and GGPlot libraries.

  
  
• Sep 5, 2015

  Hexbin Heatmap using D3

  Javascript code to generate a hexbin-heatmap in D3 with histograms on both dimensions.