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Practical Data Science using Python - K-Means - Data Preparation and Modelling
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The video tutorial explains KMeans clustering using a simplified business problem. It covers data preparation, library imports, and data analysis, focusing on building and optimizing a KMeans model. The tutorial uses elbow and silhouette methods to determine the optimal number of clusters.
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