Interpretability and Explainability

LIME

• Understanding model predictions with LIME

SHAP

• Using SHAP Values to Explain How Your Machine Learning Model Works
• Deep Learning Model Interpretation Using SHAP

Counterfactual Explanations

• Counterfactual Explanations

Science Before Statistics: Causal Inference

• Science Before Statistics: Causal Inference
• causal_salad_2021

dtreeviz - Visualize Decision Trees

• https://github.com/parrt/dtreeviz

Neural Networks are Decision Trees

• https://arxiv.org/abs/2210.05189

Interpreting ACF and PACF Plots for Time Series Forecasting

• https://towardsdatascience.com/interpreting-acf-and-pacf-plots-for-time-series-forecasting-af0d6db4061c