The lecture, Institute for Web Science and Technologies, University of Koblenz-Landau, Germany, Dr. Zeyd Boukhers, 2019, 47 p.
Defining task
Designing features
Preprocessing
Outlier removal
Feature scaling
Feature correlation measurement
Missing data
Class imbalance problem
k-nearest
Classification
Regression
K-D tree
Overfitting
Evaluation
Confusion matrix
Precision
Recall
F-Score
Overall accuracy