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Title: GitHub - HankBupt/MLAlgorithms: Minimal and clean examples of machine learning algorithms · GitHub

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Description: Minimal and clean examples of machine learning algorithms - HankBupt/MLAlgorithms

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examples	https://github.com/HankBupt/MLAlgorithms/tree/master/examples
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README	https://github.com/HankBupt/MLAlgorithms
MIT license	https://github.com/HankBupt/MLAlgorithms
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Deep learning (MLP, CNN, RNN, LSTM)	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/neuralnet
Linear regression, logistic regression	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/linear_models.py
Random Forests	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/ensemble/random_forest.py
Support vector machine (SVM) with kernels (Linear, Poly, RBF)	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/svm
K-Means	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/kmeans.py
Gaussian Mixture Model	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/gaussian_mixture.py
K-nearest neighbors	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/knn.py
Naive bayes	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/naive_bayes.py
Principal component analysis (PCA)	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/pca.py
Factorization machines	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/fm.py
Restricted Boltzmann machine (RBM)	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/rbm.py
t-Distributed Stochastic Neighbor Embedding (t-SNE)	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/tsne.py
Gradient Boosting trees (also known as GBDT, GBRT, GBM, XGBoost)	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/ensemble/gbm.py
Reinforcement learning (Deep Q learning)	https://github.com/HankBupt/MLAlgorithms/blob/master/mla/rl
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