Masterclass Certificate in Clustering for Predictive Modeling
-- ViewingNowThe Masterclass Certificate in Clustering for Predictive Modeling is a comprehensive course that equips learners with essential skills in data analysis and predictive modeling. This certification focuses on clustering techniques, a critical area of machine learning, and covers both theory and practical applications.
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โข Introduction to Clustering: Defining clustering, differentiating it from classification, and understanding its role in predictive modeling.
โข Data Preprocessing: Data cleaning, normalization, and transformation for clustering.
โข Distance Measures: Understanding and applying various distance measures like Euclidean, Manhattan, and Minkowski.
โข Hierarchical Clustering: Agglomerative and divisive methods, linkage criteria, and dendrograms.
โข Partitioning Methods: K-means, K-medoids, and their variations.
โข Clustering Validation: Internal and external validation techniques, silhouette method, elbow method.
โข Clustering for Predictive Modeling: Using clustering as a preprocessing step for predictive modeling, feature engineering.
โข Use Cases: Real-world examples of clustering in predictive modeling, interpretations, and implications.
โข Emerging Trends: Overview of advancements in clustering techniques and their applications.
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