Machine Learning Notebooks

To run these notebooks you need to install the packages by running these commands assuming that MachineLearningNotebooks is your current working directory.

using Pkg
Pkg.activate(".")
Pkg.instantiate()

These notebooks are also be run using binder:

The notebooks are best viewed using the jupyter's nbviewer service. GitHub renders sometimes the equations incorrectly.

Name		Name	Last commit message	Last commit date
Latest commit History 65 Commits
.github/workflows		.github/workflows
Fig		Fig
utils		utils
.gitignore		.gitignore
Decision-Trees-from-Scratch.ipynb		Decision-Trees-from-Scratch.ipynb
EM-algorithm-and-Gaussian-Mixtures.ipynb		EM-algorithm-and-Gaussian-Mixtures.ipynb
Gibbs-Sampler.ipynb		Gibbs-Sampler.ipynb
K-means-From-Scratch.ipynb		K-means-From-Scratch.ipynb
LICENSE		LICENSE
Linear-Discriminant-Analysis-From-Scratch.ipynb		Linear-Discriminant-Analysis-From-Scratch.ipynb
Manifest.toml		Manifest.toml
Markov-chain-Monte-Carlo.ipynb		Markov-chain-Monte-Carlo.ipynb
Neural-Networks-From-Scratch.ipynb		Neural-Networks-From-Scratch.ipynb
Neural-Networks-example.ipynb		Neural-Networks-example.ipynb
Project.toml		Project.toml
README.md		README.md
Support-Vector-Machine.ipynb		Support-Vector-Machine.ipynb
VAE.ipynb		VAE.ipynb
kernel-pca.ipynb		kernel-pca.ipynb
requirements.txt		requirements.txt

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Alexander-Barth/MachineLearningNotebooks

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Machine Learning Notebooks

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