Category: Data Analysis Foundations
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Part 4: Explainable AI (XAI): Using SHAP and LIME to Interpret Complex Models
Master SHAP and LIME to make black-box models transparent. Game theory foundations, interactive visualizations, and practical XGBoost tutorial.
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Part 3: Handling Imbalanced Data: SMOTE, ADASYN, and Beyond
Master imbalanced data handling with SMOTE, ADASYN, cost-sensitive learning, and more. Full benchmark on Kaggle fraud detection with interactive Plotly visualizations.
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Part 2: Statistical Rigor: Why Your Correlation Might Be Spurious
Master statistical rigor in data analysis: detect spurious correlations, avoid Simpson's Paradox, use p-values correctly, and implement bootstrap/permutation tests.
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Part 1: Beyond Static Charts: Building Interactive Dashboards with Plotly/Streamlit
Learn to build interactive data dashboards with Plotly and Streamlit. Move beyond static charts to create shareable, engaging visualizations.