A structured repository covering essential mathematics for machine learning, with clear explanations, intuition, and Python implementations.
-
Updated
Mar 24, 2026 - Jupyter Notebook
#
math-for-ml
Here are 8 public repositories matching this topic...
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
Jun 4, 2026 - Jupyter Notebook
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
-
Updated
Apr 1, 2026 - Python
Pure Python & NumPy implementations of core supervised and unsupervised machine learning algorithms built from first principles.
python data-science machine-learning clustering numpy regression classification math-for-ml algorithms-from-scratch
-
Updated
Aug 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
-
Updated
Jan 27, 2026 - Jupyter Notebook
Implementing Linear and Logistic Regression from Scratch using NumPy
-
Updated
Jan 18, 2026 - Jupyter Notebook
Curated roadmap and free resources to learn mathematics for machine learning: Linear Algebra, Calculus, Probability, Statistics, and Optimization with Python code examples.
python data-science machine-learning roadmap deep-learning calculus linear-algebra awesome-list cheat-sheet probability-and-statistics mathematics-for-machine-learning math-for-ml
-
Updated
Sep 1, 2026
A structured collection of notes covering the mathematics, classical algorithms, and neural-network concepts that form the foundations of machine learning.
machine-learning statistics deep-learning calculus linear-algebra machine-learning-algorithms neural-networks deeplearning ml-models ml-foundations math-for-ml
-
Updated
Sep 13, 2026
Add this topic to your repo
To associate your repository with the math-for-ml topic, visit your repo's landing page and select "manage topics."