reinforcement-learning nlp-machine-learning pca apriori eclat upper-confidence-bound thompson-sampling lda kernel-pca xgboost linear-regression support-vector-regression logistic-regression k-nn svm naive-bayes random-forest decision-tree ann cnn

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

About

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

reinforcement-learning nlp-machine-learning pca apriori eclat upper-confidence-bound thompson-sampling lda kernel-pca xgboost linear-regression support-vector-regression logistic-regression k-nn svm naive-bayes random-forest decision-tree ann cnn

MIT License

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