A structured repository covering essential mathematics for machine learning, with clear explanations, intuition, and Python implementations.
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Mar 24, 2026 - Jupyter Notebook
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math-for-ml
Here are 5 public repositories matching this topic...
production ready implementation of Linear Regression using only NumPy, demonstrating the mathematical foundations from gradient descent to scalable deployment.
docker data-science machine-learning optimization numpy linear-regression linear-algebra software-engineering gradient-descent vectorization from-scratch api-deployment mlops fastapi math-for-ml
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Apr 1, 2026 - Python
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
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Jun 4, 2026 - Jupyter Notebook
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
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Jan 27, 2026 - Jupyter Notebook
Implementing Linear and Logistic Regression from Scratch using NumPy
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Jan 18, 2026 - Jupyter Notebook
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