Euclidean distance is a distance measure commonly used in machine learning to find the closest ideal match between two data points. This measure computes the straight-line distance between two points in a high-dimensional space.
With the integration of Python in Power BI, users can leverage Python’s machine learning capabilities, including the calculation of Euclidean distance, to enhance their data analysis. In this tutorial, Gaelim shows how you can find the similar matches between data points with Euclidean distance using Python.
*****Video Details*****
00:00 Introduction
00:36 Data set
00:54 Overview of example
02:49 Calculating the Euclidean distance
03:45 Python script
07:09 Categorical variables
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