Predictive Analytics

  1. Unsupervised Learning
    1. Clustering Analysis
      1. Distance and Similarity Measures
        1. Euclidean Distance
          1. Manhattan Distance
            1. Cosine Similarity
              1. Jaccard Similarity
              2. Partitioning Methods
                1. K-Means Clustering
                  1. Algorithm Steps
                    1. Centroid Initialization
                      1. Convergence Criteria
                        1. Optimal K Selection
                          1. Elbow Method
                            1. Silhouette Analysis
                              1. Gap Statistic
                            2. K-Medoids
                              1. PAM Algorithm
                                1. Robustness to Outliers
                              2. Hierarchical Clustering
                                1. Agglomerative Clustering
                                  1. Linkage Criteria
                                    1. Single Linkage
                                      1. Complete Linkage
                                        1. Average Linkage
                                          1. Ward Linkage
                                        2. Divisive Clustering
                                          1. Dendrogram Interpretation
                                            1. Cutting Trees
                                            2. Density-based Clustering
                                              1. DBSCAN
                                                1. Core Points
                                                  1. Border Points
                                                    1. Noise Points
                                                      1. Parameter Selection
                                                      2. OPTICS
                                                        1. Reachability Distance
                                                          1. Cluster Ordering
                                                        2. Model-based Clustering
                                                          1. Gaussian Mixture Models
                                                            1. Expectation-Maximization Algorithm
                                                              1. Model Selection
                                                            2. Association Rule Mining
                                                              1. Market Basket Analysis
                                                                1. Support and Confidence
                                                                  1. Lift and Conviction
                                                                    1. Apriori Algorithm
                                                                      1. Frequent Itemset Generation
                                                                        1. Rule Generation
                                                                          1. Pruning Strategies
                                                                          2. FP-Growth Algorithm
                                                                            1. FP-Tree Construction
                                                                              1. Pattern Mining
                                                                              2. Advanced Association Measures
                                                                                1. Kulczynski Measure
                                                                                  1. Imbalance Ratio
                                                                                2. Anomaly Detection
                                                                                  1. Statistical Methods
                                                                                    1. Z-score Based Detection
                                                                                      1. Grubbs' Test
                                                                                        1. Dixon's Test
                                                                                        2. Machine Learning Approaches
                                                                                          1. Isolation Forest
                                                                                            1. One-Class SVM
                                                                                              1. Local Outlier Factor
                                                                                              2. Time Series Anomaly Detection
                                                                                                1. Seasonal Decomposition
                                                                                                  1. Control Charts
                                                                                                    1. Change Point Detection

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                                                                                                7. Time Series Analysis and Forecasting

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                                                                                                9. Model Evaluation and Validation