10.13) Normalized and Unit Vector in Python

10.1) Inner or Dot Product of Two n-vectors

10.2) Euclidean Norm of an n-vector

10.3) Linear Combination of a Set of Vectors

10.4) Linear Dependence vs Independence

10.5) Linear Independence: Determinant and Inverse

10.6) Python: Reduced Row Echelon Form

10.7) Matrix Inverse in Python

10.8) Determinant and Inverse Matrix in Sympy

10.9) Eigenvalue and Eigenvector

10.10) Eigenvalue and Eigenvector in Sympy

10.11) Standard Basis Vectors

10.12) Matrix Transformation

10.13) Normalized and Unit Vector in Python

10.14) Formula to Calculate the Angle between Two Vectors

10.15) Correlation as the Cosine of the Angle between Two Vectors

10.16) Orthogonal Projection: Formula Derivation

10.17) Cross Product in Python

10.18) Eigenvalue, Trace, and Determinant

10.19) Python: Eigenvalue, Trace, and Determinant