Masterclass Certificate in Clustering for Data Science
-- ViewingNowThe Masterclass Certificate in Clustering for Data Science is a comprehensive course that equips learners with essential skills in data analysis and machine learning. This program focuses on clustering, a critical technique for unsupervised learning and exploratory data analysis.
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โข Introduction to Clustering
โข Types of Clustering: Hard Clustering, Soft Clustering, Hierarchical Clustering, and Centroid-based Clustering
โข Cluster Evaluation Metrics: Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index
โข K-Means Clustering: Algorithm, Variants, Limitations, and Applications
โข Hierarchical Clustering: Agglomerative and Divisive Methods, Dendrograms, and Linkage Criteria
โข Density-based Clustering: DBSCAN, OPTICS, and HDBSCAN
โข Clustering High-Dimensional Data: Curse of Dimensionality, Feature Selection, and t-SNE
โข Real-World Applications of Clustering in Data Science
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