├── .gitignore ├── LICENSE ├── MANIFEST.in ├── README.md ├── mlfromscratch ├── __init__.py ├── data │ └── TempLinkoping2016.txt ├── deep_learning │ ├── __init__.py │ ├── activation_functions.py │ ├── layers.py │ ├── loss_functions.py │ ├── neural_network.py │ └── optimizers.py ├── examples │ ├── adaboost.py │ ├── apriori.py │ ├── bayesian_regression.py │ ├── convolutional_neural_network.py │ ├── dbscan.py │ ├── decision_tree_classifier.py │ ├── decision_tree_regressor.py │ ├── deep_q_network.py │ ├── demo.py │ ├── elastic_net.py │ ├── fp_growth.py │ ├── gaussian_mixture_model.py │ ├── genetic_algorithm.py │ ├── gradient_boosting_classifier.py │ ├── gradient_boosting_regressor.py │ ├── k_means.py │ ├── k_nearest_neighbors.py │ ├── lasso_regression.py │ ├── linear_discriminant_analysis.py │ ├── linear_regression.py │ ├── logistic_regression.py │ ├── multi_class_lda.py │ ├── multilayer_perceptron.py │ ├── naive_bayes.py │ ├── neuroevolution.py │ ├── particle_swarm_optimization.py │ ├── partitioning_around_medoids.py │ ├── perceptron.py │ ├── polynomial_regression.py │ ├── principal_component_analysis.py │ ├── random_forest.py │ ├── recurrent_neural_network.py │ ├── restricted_boltzmann_machine.py │ ├── ridge_regression.py │ ├── support_vector_machine.py │ └── xgboost.py ├── reinforcement_learning │ ├── __init__.py │ └── deep_q_network.py ├── supervised_learning │ ├── __init__.py │ ├── adaboost.py │ ├── bayesian_regression.py │ ├── decision_tree.py │ ├── gradient_boosting.py │ ├── k_nearest_neighbors.py │ ├── linear_discriminant_analysis.py │ ├── logistic_regression.py │ ├── multi_class_lda.py │ ├── multilayer_perceptron.py │ ├── naive_bayes.py │ ├── neuroevolution.py │ ├── particle_swarm_optimization.py │ ├── perceptron.py │ ├── random_forest.py │ ├── regression.py │ ├── support_vector_machine.py │ └── xgboost.py ├── unsupervised_learning │ ├── __init__.py │ ├── apriori.py │ ├── autoencoder.py │ ├── dbscan.py │ ├── dcgan.py │ ├── fp_growth.py │ ├── gaussian_mixture_model.py │ ├── generative_adversarial_network.py │ ├── genetic_algorithm.py │ ├── k_means.py │ ├── partitioning_around_medoids.py │ ├── principal_component_analysis.py │ └── restricted_boltzmann_machine.py └── utils │ ├── __init__.py │ ├── data_manipulation.py │ ├── data_operation.py │ ├── kernels.py │ └── misc.py ├── requirements.txt ├── setup.cfg └── setup.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eriklindernoren/ML-From-Scratch/HEAD/.gitignore -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eriklindernoren/ML-From-Scratch/HEAD/LICENSE -------------------------------------------------------------------------------- /MANIFEST.in: -------------------------------------------------------------------------------- 1 | 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