Business Analytics

  1. Predictive Analytics
    1. Machine Learning Fundamentals
      1. Learning Types
        1. Supervised Learning
          1. Classification Problems
            1. Regression Problems
            2. Unsupervised Learning
              1. Clustering
                1. Association Rules
                2. Semi-supervised Learning
                  1. Reinforcement Learning
                  2. Model Development Process
                    1. Data Splitting Strategies
                      1. Training Set
                        1. Validation Set
                          1. Test Set
                          2. Cross-validation
                            1. K-fold Cross-validation
                              1. Leave-one-out Cross-validation
                                1. Stratified Cross-validation
                              2. Model Evaluation
                                1. Classification Metrics
                                  1. Accuracy
                                    1. Precision
                                      1. Recall
                                        1. F1-score
                                          1. Confusion Matrix
                                            1. ROC Curve and AUC
                                            2. Regression Metrics
                                              1. Mean Absolute Error
                                                1. Mean Squared Error
                                                  1. Root Mean Squared Error
                                                    1. R-squared
                                                      1. Adjusted R-squared
                                                    2. Model Selection and Tuning
                                                      1. Hyperparameter Optimization
                                                        1. Grid Search
                                                          1. Random Search
                                                            1. Bayesian Optimization
                                                          2. Regression Analysis
                                                            1. Simple Linear Regression
                                                              1. Model Assumptions
                                                                1. Least Squares Method
                                                                  1. Coefficient Interpretation
                                                                    1. Residual Analysis
                                                                    2. Multiple Linear Regression
                                                                      1. Model Building
                                                                        1. Variable Selection
                                                                          1. Multicollinearity Detection
                                                                            1. Interaction Terms
                                                                            2. Polynomial Regression
                                                                              1. Non-linear Relationships
                                                                                1. Degree Selection
                                                                                  1. Overfitting Considerations
                                                                                  2. Logistic Regression
                                                                                    1. Binary Classification
                                                                                      1. Odds and Odds Ratios
                                                                                        1. Maximum Likelihood Estimation
                                                                                          1. Model Interpretation
                                                                                          2. Advanced Regression Techniques
                                                                                            1. Ridge Regression
                                                                                              1. Lasso Regression
                                                                                                1. Elastic Net
                                                                                              2. Classification Algorithms
                                                                                                1. Decision Trees
                                                                                                  1. Tree Construction
                                                                                                    1. Splitting Criteria
                                                                                                      1. Gini Impurity
                                                                                                        1. Information Gain
                                                                                                          1. Chi-squared
                                                                                                          2. Pruning Techniques
                                                                                                            1. Handling Missing Values
                                                                                                            2. Ensemble Methods
                                                                                                              1. Random Forest
                                                                                                                1. Bootstrap Aggregating
                                                                                                                  1. Feature Importance
                                                                                                                    1. Out-of-bag Error
                                                                                                                    2. Gradient Boosting
                                                                                                                      1. AdaBoost
                                                                                                                        1. XGBoost
                                                                                                                          1. LightGBM
                                                                                                                        2. Support Vector Machines
                                                                                                                          1. Linear SVM
                                                                                                                            1. Non-linear SVM
                                                                                                                              1. Kernel Functions
                                                                                                                                1. Parameter Tuning
                                                                                                                                2. K-Nearest Neighbors
                                                                                                                                  1. Distance Metrics
                                                                                                                                    1. Choosing K
                                                                                                                                      1. Curse of Dimensionality
                                                                                                                                      2. Naive Bayes
                                                                                                                                        1. Bayes' Theorem
                                                                                                                                          1. Independence Assumption
                                                                                                                                            1. Gaussian Naive Bayes
                                                                                                                                              1. Multinomial Naive Bayes
                                                                                                                                              2. Neural Networks
                                                                                                                                                1. Perceptron
                                                                                                                                                  1. Multi-layer Perceptron
                                                                                                                                                    1. Backpropagation
                                                                                                                                                      1. Deep Learning Basics
                                                                                                                                                    2. Clustering Analysis
                                                                                                                                                      1. K-Means Clustering
                                                                                                                                                        1. Algorithm Steps
                                                                                                                                                          1. Choosing Number of Clusters
                                                                                                                                                            1. Cluster Evaluation Metrics
                                                                                                                                                              1. K-Means++
                                                                                                                                                              2. Hierarchical Clustering
                                                                                                                                                                1. Agglomerative Clustering
                                                                                                                                                                  1. Divisive Clustering
                                                                                                                                                                    1. Linkage Criteria
                                                                                                                                                                      1. Dendrogram Interpretation
                                                                                                                                                                      2. Density-Based Clustering
                                                                                                                                                                        1. DBSCAN
                                                                                                                                                                          1. Noise Detection
                                                                                                                                                                            1. Parameter Selection
                                                                                                                                                                            2. Model-Based Clustering
                                                                                                                                                                              1. Gaussian Mixture Models
                                                                                                                                                                                1. Expectation-Maximization Algorithm
                                                                                                                                                                              2. Time Series Analysis
                                                                                                                                                                                1. Time Series Components
                                                                                                                                                                                  1. Trend
                                                                                                                                                                                    1. Seasonality
                                                                                                                                                                                      1. Cyclicality
                                                                                                                                                                                        1. Irregular Component
                                                                                                                                                                                        2. Time Series Decomposition
                                                                                                                                                                                          1. Additive Decomposition
                                                                                                                                                                                            1. Multiplicative Decomposition
                                                                                                                                                                                              1. STL Decomposition
                                                                                                                                                                                              2. Smoothing Techniques
                                                                                                                                                                                                1. Moving Averages
                                                                                                                                                                                                  1. Simple Moving Average
                                                                                                                                                                                                    1. Weighted Moving Average
                                                                                                                                                                                                      1. Exponential Moving Average
                                                                                                                                                                                                      2. Exponential Smoothing
                                                                                                                                                                                                        1. Simple Exponential Smoothing
                                                                                                                                                                                                          1. Holt's Method
                                                                                                                                                                                                            1. Holt-Winters Method
                                                                                                                                                                                                          2. ARIMA Models
                                                                                                                                                                                                            1. Autoregressive Models
                                                                                                                                                                                                              1. Moving Average Models
                                                                                                                                                                                                                1. Integrated Models
                                                                                                                                                                                                                  1. Model Identification
                                                                                                                                                                                                                    1. Parameter Estimation
                                                                                                                                                                                                                      1. Model Diagnostics
                                                                                                                                                                                                                      2. Advanced Time Series Methods
                                                                                                                                                                                                                        1. Seasonal ARIMA
                                                                                                                                                                                                                          1. Vector Autoregression
                                                                                                                                                                                                                            1. State Space Models

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                                                                                                                                                                                                                        7. Prescriptive Analytics