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em-simulation

R simulation of the expectation–maximization (EM) algorithm for k-means clustering. Plots each iterative step until convergence.

kernel-density-plots

Layman's tutorial to create 2D & 3D Histograms and Kernel Density Plots

numsense

Accompanying R scripts for tutorials in our new data science book, Numsense!

random-forests

Layman's tutorial to Random Forests, and how it can help us to predict the probability of a goal in football, with applications ranging from performance appraisal to match-fixing detection

self-organizing-map

Layman's tutorial to train and fit an SOM. Iterative changes to SOM grid visualized for conceptual understanding.

time-series-forecasting

Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM

word-embeddings