PCA
PCA: purpose, parameters, outputs, source code and references.
LDA
LDA: purpose, parameters, outputs, source code and references.
Logistic regression
Logistic regression: purpose, parameters, outputs, source code and references.
Linear regression
Linear regression: purpose, parameters, outputs, source code and references.
SVM
SVM: purpose, parameters, outputs, source code and references.
Random forest
Random forest: purpose, parameters, outputs, source code and references.
k-NN
k-NN: purpose, parameters, outputs, source code and references.
PLS-DA
PLS-DA: purpose, parameters, outputs, source code and references.
SIMCA
SIMCA: purpose, parameters, outputs, source code and references.
XGBoost
XGBoost: purpose, parameters, outputs, source code and references.
Balanced Bagging Classifier
Balanced Bagging Classifier: purpose, parameters, outputs, source code and references.
Balanced Random Forest
Balanced Random Forest: purpose, parameters, outputs, source code and references.