Prerequisites for the course on linear data analysis, which are mainly linear algebra, are available below.

The lectures were produced using technology that is described in this video:
https://youtu.be/ltOxgb28ZKY

No.		Video
8		Overview of Prerequisites
9		Matrix Norms
10		Orthogonal Projection and Linear Regression
11		Data Standardization
12		SVD - Singular Value Decomposition
13		PCA - Principal Component Analysis
14		Unsupervised Learning - Clustering
15		Supervised Learning - Labels of Data
16		Classifier Assessment - Confusion Matrix
17		Classifier Assessment - ROC Curve
		CISC271 Prerequisites
1		Overview of Prerequisites
2		Vectors
3		Vector Spaces
4		Linear Maps
5		Basis Vectors For A Vector Space
6		Square Matrices
7		Eigenvectors And Eigenvalues

Queen's University is situated on the territory of the Haudenosaunee and Anishinaabek.

Ne Queen's University e’tho nón:we nikanónhsote tsi nón:we ne Haudenosaunee táhnon Anishinaabek tehatihsnonhsáhere ne onhwéntsya.

Gimaakwe Gchi-gkinoomaagegamig atemagad Naadowe miinwaa Anishinaabe aking.