Masterclass Certificate in Clustering for Maximum Impact
-- ViewingNowThe Masterclass Certificate in Clustering for Maximum Impact is a comprehensive course designed to equip learners with essential skills in data analysis and machine learning. This certificate course focuses on clustering, a critical technique for unsupervised learning and data segmentation.
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โข Introduction to Clustering: Defining clustering, clustering methods, use cases, and the importance of clustering.
โข Data Preprocessing: Data cleaning, normalization, transformation, and feature selection.
โข Distance Measures: Understanding and selecting appropriate distance measures for clustering algorithms.
โข Hierarchical Clustering: Agglomerative vs. divisive methods, linkage criteria, and dendrograms.
โข Partitioning Methods: K-means, K-medoids, and their variations.
โข Density-Based Clustering: DBSCAN, OPTICS, and their applications.
โข Clustering Validation: Internal and external validation techniques, and choosing the right number of clusters.
โข Scalable Clustering Techniques : Handling big data with techniques like mini-batch K-means and Streaming K-means.
โข Ensemble Clustering: Combining multiple clustering results for improved performance.
โข Case Studies: Real-world applications and examples of clustering in various industries.
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