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math-for-ml

Here are 4 public repositories matching this topic...

santanu2908 / linear-algebra-essentials

A beginner-friendly collection of Jupyter notebooks covering the essentials of linear algebra with clear NumPy code and visualizations. Topics include vectors, basis, transformations, dot product, determinants, eigenvalues/eigenvectors, matrix inverse, rank, and cross product—ideal for students and self-learners.

visualization python data-science machine-learning numpy linear-algebra jupyter-notebook mathematics matrices eigenvectors vectors eigenvalues mathplotlib dotproduct math-for-ml

Updated Mar 22, 2026
Jupyter Notebook

VishalParmar07 / Learning_How_Machine_Learns-Regression

Implementing Linear and Logistic Regression from Scratch using NumPy

numpy linear-regression logistic-regression regularization learning-project math-for-ml

Updated Jan 18, 2026
Jupyter Notebook

Hamna-Munir / Math-For-Machine-Learning

A structured repository covering essential mathematics for machine learning, with clear explanations, intuition, and Python implementations.

python machine-learning statistics calculus linear-algebra probability mathematics math-for-ml

Updated Mar 24, 2026
Jupyter Notebook

VishalParmar07 / Learning_How_Machine_Learns-MLP

A NumPy-only Multilayer Perceptron (MLP) built from first principles to demystify neural networks, backpropagation, and optimization algorithms.

machine-learning deep-learning numpy dropout mnist batch-normalization neural-networks regularization gradient-descent breast-cancer-prediction adam-optimizer learning-project multilayer-perceptron backpropogation california-housing-price-prediction mlp-from-scratch math-for-ml

Updated Jan 27, 2026
Jupyter Notebook

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