Category: Data Analysis Foundations
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XAI in Practice: SHAP and LIME for Model Interpretation
SHAP vs LIME for XGBoost: when game theory beats local approximations. Interactive tutorial reveals what drives your model's predictions.
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Part 3: Handling Imbalanced Data: SMOTE, ADASYN, and Beyond
SMOTE vs ADASYN vs cost-sensitive learning on Kaggle fraud data. Benchmark shows which method wins at precision, recall, and edge cases.
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Part 2: Statistical Rigor: Why Your Correlation Might Be Spurious
Catch 4 statistical traps that make correlations spurious: Simpson's Paradox, p-hacking, confounders. Includes bootstrap tests you can run today.
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Interactive Dashboards with Plotly and Streamlit
Build a live data dashboard in 50 lines: Plotly + Streamlit with callbacks, filters, and hover tooltips. No JavaScript required.