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Nikronic / Machine-Learning-Models

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
MIT License
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ann apriori cnn decision-tree eclat k-nn kernel-pca lda linear-regression logistic-regression naive-bayes nlp-machine-learning pca random-forest reinforcement-learning support-vector-regression svm thompson-sampling upper-confidence-bound xgboost

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Machine-Learning-Models

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code. All of these models will be used on real datasets in another Jupyter notebook file with full documentation.

Goal

I used more general form and some other methods for building templates to import them into a Jupyter notebook.

Resource

Superdatascience.com

Citation

Please cite this project as:

Nikan Doosti. (2020). Nikronic/Machine-Learning-Models: DOI Release (v0.1-alpha). Zenodo. https://doi.org/10.5281/zenodo.3838653

DOI