Projects with this topic
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Fundamental theory and practice in Data Science (DS).
🧮 data analysis AI ML DL machine lear... deep learning data science data-enginee... artificial i... data-science data preproc... Python C C++ NumPy pandas mathematics Algorithm algorithms Data Enginee... big data scipy scikit-learn xgboost lightgbm catboost TensorFlow keras PyTorch matplotlib seaborn plotly nltk opencv dask linear-algebra calculus probability statistics Discrete Mat... RUpdated -
A not-so comprehensive guide bridging linear algebra theory with practical data science implementation. Meant to be used as a learning resource for someone with a strong linear algebra background. This project demonstrates how fundamental linear algebra concepts power modern machine learning algorithms, with hands-on Python implementations.
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An introduction to determinants
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⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
topology algebra computer-alg... linear-algebra automatic di... Simplicial H... quantum comp... quaternion complex number computationa... computationa... differential... differential... tensor Geometry Pro... Lie-Groups Lie-Algebras lie-algebra geometric al... riemannian-m... discrete ext... mathematics simplex homological ...Updated -
Tangent bundle, vector space and Submanifold definition
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Tensor algebra abstract type interoperability setup
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reducelinalg.jl: A selection of functions that are useful in the world of linear algebra, automatically mirrored from https://github.com/JuliaReducePkg/ReduceLinAlg.jl
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