Practiced concepts such as Principal Component Analysis, Singular Value Decomposition, differentiation, and gradient descent through the implementation of neural networks and dimensionality reduction techniques (PCA, LDA) from scratch.
Practiced concepts such as Principal Component Analysis, Singular Value Decomposition, differentiation, and gradient descent through the implementation of neural networks and dimensionality reduction techniques (PCA, LDA) from scratch.