This is a set of hand-on session codes for the online course 'Bio Data Mining' opened in the SKKU (GBE3071_41). The codes will be uploaded here every Monday. Please feel free to fork or clone the codes and learn yourself.

• Week01: Simple Linear Regression
• Week02: General Linear Model example (design matrix and contrast)
• Week03: Prediction Framework
• Week04: Peformance evaluation (sensitivity-specificty, Precision-Recall, F1), Regularized regression and feature selection (Functional connectivity)
• Week05: Full lectures without code implementation (supervised learning methods)
• Week06: Ensemble Methods - AdaBoost and Gradient Boosting
• Week07: Dimensionality Reduction - Principal Component Analysis, Eigenface example
• Week08: Full lectures without code implementation (PLS and CCA)
• Week09: Full lectures without code implementation (Clustering)
• Week10: Clustering analysis (Partitioning, Hierarchical clustering)
• Week11: Factor analysis (adequacy test, factor extration, rotation)