GitHub - lolooppo/ml-stats-essentials: 🧮 Crunching math & stats the ML/DS way

Main Topics

Linear Algebra → vectors, matrices, row-reduction, eigenvalues
Calculus → derivatives, gradients, optimization basics
Probability & Statistics → distributions, expectation, variance, Bayes
Analytical Methods → systems of equations, Gaussian elimination, back-substitution
Applications to ML → loss functions, gradient descent, data representation

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
A_B_Testing.ipynb		A_B_Testing.ipynb
README.md		README.md
application-of-eigenvalues-and-eigenvectors-webpage-navigation-model-and-pca.ipynb		application-of-eigenvalues-and-eigenvectors-webpage-navigation-model-and-pca.ipynb
gaussian_elimination_algorithm.ipynb		gaussian_elimination_algorithm.ipynb
linear-transformations-and-neural-networks.ipynb		linear-transformations-and-neural-networks.ipynb
loaded_dice.ipynb		loaded_dice.ipynb
naive-bayes.ipynb		naive-bayes.ipynb
neural-network-with-two-layers.ipynb		neural-network-with-two-layers.ipynb
optimization-using-gradient-descent-linear-regression.ipynb		optimization-using-gradient-descent-linear-regression.ipynb
optimizing-functions-of-one-variable-cost-minimization.ipynb		optimizing-functions-of-one-variable-cost-minimization.ipynb