Statistics

Hidden Markov Model Example
A simple look at an example.
Hypothesis Testing
Practical knowledge of hypothesis testing and how to design tests
Weighted Least Squares and Heteroskedasticity
Preliminary notes
Multicollinearity Discussion
Views from matrix rank, to diagnostic, ridge and lasso
Simple Linear Regression Key Results
Assumptions and key results
PCA Tutorial
A derivation from eigenvectors of covariance with Python codes
ML-01 Ridge and Lasso Regression
Ridge and Lasso - Theory Part