Certificate in Clustering Techniques for Data Scientists
-- ViewingNowThe Certificate in Clustering Techniques for Data Scientists is a comprehensive course that focuses on teaching specialized clustering methods and techniques, which are vital for data scientists. This certification emphasizes the importance of organizing and interpreting large, complex data sets, a skill highly sought after in today's data-driven industries.
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โข Introduction to Clustering Techniques
โข K-Means Clustering: Basics, Algorithm, Strengths, and Limitations
โข Hierarchical Clustering: Agglomerative and Divisive Methods
โข DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
โข Gaussian Mixture Models and Expectation-Maximization Algorithm
โข Clustering Evaluation Metrics: Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index
โข Real-World Applications of Clustering Techniques
โข Advanced Clustering Techniques: Spectral Clustering, Mean-Shift, and Affinity Propagation
โข Dimensionality Reduction and Clustering: PCA & t-SNE Integration
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