Clustering+Clean+Ads Data.xlsx - A Step-by-Step Guide to Clustering and Segmenting Digital Ads Data with Python for the 2024/2025 Academic Year
This comprehensive guide helps students master the process of clustering and segmenting digital advertising data using Python, with a special focus on the practical application of K-Means and Hierarchical clustering techniques. The guide delves into data preparation, outlier identification, z-score scaling, dendrogram construction, elbow plot analysis, and silhouette score evaluation, equipping students with the skills needed to confidently tackle challenging data analysis tasks in the field of digital marketing.
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