Appendix A — Lecture Presentations
The presentations follow the same sequence as the course book. Video buttons activate automatically when a URL is added to the configuration below.
Part III — Exploratory Data Analysis
BigMart EDA
Heterogeneity · Concentration · Correlation · PCA
Part IV — Data Preprocessing
Missing Data
MCAR · MAR · MNAR · Imputation strategies
Principal Component Analysis
Dimensionality reduction · Explained variance · Interpretation
Chi-Square Test
Categorical association · Contingency tables · Independence test
Part V — Pattern Extraction
Association Rules
Support · Confidence · Lift · Critical interpretation
Part VI — Classification
Classification Metrics
Confusion matrix · Precision · Recall · F1 · ROC and PR curves
Comparing Classifiers
Pipelines · Model comparison · Threshold selection
Bayesian Classifiers
Bayes’ theorem · Naive Bayes · Gaussian models
Neural Networks with PyTorch and JAX
Training loop · Automatic differentiation · Framework comparison