Understanding Distance Metrics: A Data Scientist’s Toolkit

πŸ“šπŸ“š We all know that machine learning algorithms use various distance measures to make sense of data relationships. 🧭 Let’s take a look at few popular distance measure and when these are used : Euclidean Distance: It’s like measuring the “as-the-crow-flies” distance between data points, crucial for clustering and understanding spatial relationships. πŸ—ΊοΈ Cosine Similarity: […]

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