从头开始学机器学习：ML-From-Scratch
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2021-05-10
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ML-From-Scratch-masterE.rar （89个子文件） 
ML-From-Scratch-master 
MANIFEST.in 29B mlfromscratch deep_learning activation_functions.py 2KB __init__.py 42B layers.py 27KB neural_network.py 5KB loss_functions.py 1KB optimizers.py 5KB utils misc.py 4KB data_manipulation.py 5KB data_operation.py 2KB __init__.py 85B kernels.py 398B unsupervised_learning dcgan.py 6KB gaussian_mixture_model.py 5KB principal_component_analysis.py 1KB k_means.py 3KB __init__.py 358B partitioning_around_medoids.py 5KB autoencoder.py 4KB fp_growth.py 7KB generative_adversarial_network.py 6KB genetic_algorithm.py 4KB apriori.py 8KB dbscan.py 4KB restricted_boltzmann_machine.py 3KB __init__.py 0B supervised_learning regression.py 10KB decision_tree.py 11KB random_forest.py 4KB adaboost.py 6KB multi_class_lda.py 3KB support_vector_machine.py 4KB perceptron.py 3KB logistic_regression.py 2KB __init__.py 895B multilayer_perceptron.py 4KB xgboost.py 4KB naive_bayes.py 3KB neuroevolution.py 6KB gradient_boosting.py 4KB k_nearest_neighbors.py 1KB bayesian_regression.py 4KB particle_swarm_optimization.py 6KB linear_discriminant_analysis.py 1KB examples random_forest.py 738B adaboost.py 1KB multi_class_lda.py 486B support_vector_machine.py 969B perceptron.py 1KB ridge_regression.py 3KB gaussian_mixture_model.py 565B logistic_regression.py 1KB principal_component_analysis.py 1KB k_means.py 572B elastic_net.py 2KB multilayer_perceptron.py 2KB linear_regression.py 2KB xgboost.py 897B partitioning_around_medoids.py 540B gradient_boosting_classifier.py 985B fp_growth.py 1KB decision_tree_regressor.py 2KB demo.py 5KB naive_bayes.py 789B genetic_algorithm.py 1KB convolutional_neural_network.py 3KB neuroevolution.py 2KB k_nearest_neighbors.py 851B bayesian_regression.py 2KB polynomial_regression.py 3KB recurrent_neural_network.py 3KB particle_swarm_optimization.py 3KB gradient_boosting_regressor.py 2KB linear_discriminant_analysis.py 929B apriori.py 1KB lasso_regression.py 2KB deep_q_network.py 1KB dbscan.py 642B restricted_boltzmann_machine.py 2KB decision_tree_classifier.py 956B reinforcement_learning __init__.py 40B deep_q_network.py 5KB data 
TempLinkoping2016.txt 6KB requirements.txt 78B LICENSE 1KB setup.cfg 57B setup.py 1KB README.md 13KB .gitignore 76B资源评论
