smote-explained-for-noobs-synthetic-minority-over-sampling-technique-line-by-line

SMOTE explained for noobs – Synthetic Minority Over-sampling TEchnique line by line

Using a machine learning algorithm out of the box is problematic when one class in the training set dominates the other. The Synthetic Minority Resampling Technique (SMOTE) solves this problem. In this tutorial, I’ll explain how SMOTE works, and then how the SMOTE function code works. What problem does SMOTE solve? Machine learning algorithms learn …

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using-geographical-heat-maps-to-visualise-cultural-influence

Using geographical heat maps to visualise cultural influence

Streets, squares and places are usually named after influential people. As a consequence, place names give an idea of ​​who shaped local cultures. In this post, I use open street map data to visualize the impact of various historical figures in Germany. Requesting data from an open street map To find out where geographic features …

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