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- Observational Machine Learning Method
- Propensity Score Matching
- Causal Graph
- Principal Component Analysis
- Singular Value Decomposition
- Dimensionality Reduction
- Dendrogram
- Hierarchical Clustering
- K-Means++
- Holdout (Data Science)
- Diaper-Beer Syndrome
- Leakage (Data Science)
- Ensemble Learning
- Boosting
- Bootstrap Aggregating
- Min-Max Scaling
- Time Series Data
- Lagged Time Series
- Shapley Value
- SHAP Analysis
- Beeswarm Plot
- Waterfall Plot
- Extrapolation (Data Science)
- Confounder (Data Science)
- Missing Data
- Normalization (Data Science)
- Bias-Variance Trade-Off
- N-Fold Cross-Validation
- Undersampling
- Oversampling