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lines changed- Calculus
- 01. Derivatives and Optimization
- lab - cost minimization: Optimizing fn of 1 variable
- lab - differentiation in python
- 02. Gradients and Gradient Descent
- lab - Optimization using GD - Linear Regression
- lab - Optimization using GD in 1 variable
- lab - Optimization using GD in 2 variables
- 03. Optimization in neural networks and Newton's method
- lab - classification with perceptron
- lab - neural network with two layers
- lab - optimization using Newton's method
- lab - regression with perceptron
- Linear Algebra
- 01. System of Linear Equations
- lab - intro to numpy
- lab - linear systems as matrices
- 02. Solving Systems of Linear Equations - Elimination
- lab - gaussian elimination
- lab - intro to numpy.linalg
- 03. Vectors and Linear Transformations
- lab - linear transformation and neural network
- lab - linear transformations
- lab - matrix multiplication
- lab - vector operations
- 04. Determinants and Eigen vectors
- lab - application of eigenvalues and eigenvectors - PCA
- lab - interpreting Eigenvalues and Eigenvectors
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