One of the key pain points for marketers is to identify customer needs. By understanding the customer, marketers can launch a targeted marketing campaign that is tailored for specific needs. If data about customers is available, data science can be applied to perform market segmentation. In this case study we will analyse extensive customer data and use K-Means clustering to divide customers into 4 distinctive groups to allow marketers to know their customers better.
A clear and concise explanation of the Kruskal's Algorithm and the greeedy policy, accompagned by a Python implementation to find the mimimum spanning Tree.
Catalan Numbers are a very often encountered series in mathematics and combinatorics, this article is a quick introduction to those Numbers, their different uses and a Python implementation to help visualization.
Paper Review on Least Angle Regression.