Name		Name	Last commit message	Last commit date
parent directory ..
data		data
images		images
README.md		README.md
Topic1-Non-parametric_Models.ipynb		Topic1-Non-parametric_Models.ipynb
Topic2-Model_Validation.ipynb		Topic2-Model_Validation.ipynb
Topic3-Complexity_Optimization.ipynb		Topic3-Complexity_Optimization.ipynb
Topic4-High-dimensional_Regression.ipynb		Topic4-High-dimensional_Regression.ipynb

README.md

Regression

Non-Parametric Models - Linear interpolation and kernel regression.
Model Validation - Error metrics, cross validation, uncertainty estimation.
Complexity Optimization - Information criteria, regularization (KRR and LASSO), and hyperparameter tuning.
High-Dimensional Regression - Feature visualization, multi-linear regression, forward selection, principal component regression.