Unsupervised Learning and Clustering

84 lessons in AI Fundamentals

• Matching Clustering to Data ShapeSlides / Video
• Anomaly Detection with Unsupervised MethodsSlides / Video
• Association Rule Learning BasicsSlides / Video
• Clustering Evaluation MetricsSlides / Video
• Hard vs Soft ClusteringSlides / Video
• Gaussian Mixture Models and Soft ClusteringSlides / Video
• Density-Based Clustering: DBSCANSlides / Video
• Dendrograms and Cluster HierarchiesSlides / Video
• Hierarchical Clustering ExplainedSlides / Video
• Distance and Similarity MetricsSlides / Video
• Types of Unsupervised Learning TasksSlides / Video
• Common Applications of ClusteringSlides / Video
• K-Means Limitations and AssumptionsSlides / Video
• Choosing K: Elbow and SilhouetteSlides / Video
• K-Means Clustering AlgorithmSlides / Video
• What Clustering Is and Its GoalSlides / Video
• Mean Shift Bandwidth ParameterCode Quiz
• t-SNE Cluster VisualizationCode Quiz
• The Elbow MethodQuiz
• Clustering ApplicationsQuiz
• Hard vs Soft AssignmentQuiz
• Internal Evaluation MetricsQuiz
• External Metrics: ARI and NMIQuiz
• Curse of DimensionalityQuiz
• DBSCAN ParametersQuiz
• Unsupervised Anomaly DetectionQuiz
• Agglomerative vs DivisiveQuiz
• K-Means LimitationsQuiz
• DBSCAN BasicsQuiz
• How K-Means WorksQuiz
• Choosing a Clustering AlgorithmQuiz
• Gaussian Mixture ModelsQuiz
• Distance MetricsQuiz
• Silhouette ScoreQuiz
• K-Means++ InitializationQuiz
• Reading a DendrogramQuiz
• Ward LinkageQuiz
• Apriori and SupportQuiz
• Handling OutliersQuiz
• Counting Points per ClusterCode Quiz
• PCA fit/transform OrderCode Quiz
• Predicting Cluster for New PointCode Quiz
• K-Means n_init SettingCode Quiz
• Hard vs Soft Clustering OutputCode Quiz
• Adjusted Rand Index ArgumentsCode Quiz
• Pairwise Distance MatrixCode Quiz
• K-Means Convergence ToleranceCode Quiz
• Agglomerative Merge StepCode Quiz
• EM E-Step vs M-StepCode Quiz
• Single Linkage DistanceCode Quiz
• DBSCAN Parameter OrderCode Quiz
• DBSCAN Core Point CheckCode Quiz
• GMM Responsibilities NormalizationCode Quiz
• DBSCAN Noise LabelingCode Quiz
• Cutting a DendrogramCode Quiz
• K-Means++ InitializationCode Quiz
• Euclidean Distance to CentroidsCode Quiz
• K-Means Inertia CalculationCode Quiz
• Silhouette Score FormulaCode Quiz
• Cosine vs Euclidean DistanceCode Quiz
• Elbow Method for KCode Quiz
• K-Means Update StepCode Quiz
• K-Means Assignment StepCode Quiz
• External Metrics and ARIFlashcard
• Real-World Unsupervised ApplicationsFlashcard
• Unsupervised Anomaly DetectionFlashcard
• Challenges of Evaluating Unsupervised LearningFlashcard
• Association Rule Learning (Apriori)Flashcard
• Internal Cluster Evaluation MetricsFlashcard
• Clustering Algorithm FamiliesFlashcard
• t-SNE and UMAPFlashcard
• Dimensionality Reduction OverviewFlashcard
• DBSCANFlashcard
• DendrogramsFlashcard
• Agglomerative ClusteringFlashcard
• K-Means++ InitializationFlashcard
• Elbow MethodFlashcard
• K-Means AlgorithmFlashcard
• Gaussian Mixture ModelsFlashcard
• Linkage CriteriaFlashcard
• K-Means LimitationsFlashcard
• Silhouette ScoreFlashcard
• Distance MetricsFlashcard
• Hard vs Soft ClusteringFlashcard