Statistics

Independent Component Analysis Use in Neuroimaging

ICA uses in neuroimaging

L1 Regularization: Lassoing Your Data

L1 regularization for regressions

L2 Regularization

L2 regularization for regressions

Linear Regressions

Y = mx + b

Machine Learning Classification Metrics

The ML metrics table you'll need

Principal Component Selection: The Broken-Stick Model

How to objectively choose the number of PCs from a PCA

Principal Components Analysis

Understanding PCAs

Support Vector Machines Explained

Understanding SVMs