Machine_Learning_Code_Implementation:机器学习算法的数学推导和纯Python代码实现
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2021-08-05
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Machine_Learning_Code_Implementation-master.zip （41个子文件） 
Machine_Learning_Code_Implementation-master charpter4_regression_expansion 
ridge.ipynb 37KB lasso.ipynb 42KB charpter24_CRF crf.ipynb 9KB charpter9_SVM soft_margin_svm.ipynb 68KB hard_margin_svm.ipynb 71KB non-linear_svm.ipynb 61KB charpter16_ensemble_compare compare_and_tuning.ipynb 70KB charpter19_SVD 
louwill.jpg 459KB svd.ipynb 7KB charpter21_Bayesian_models naive_bayes.ipynb 7KB bayesian_network.ipynb 5KB charpter2_linear_regression linear_regression.ipynb 83KB charpter14_CatBoost catboost.ipynb 1.21MB adult.data 3.79MB charpter23_HMM hmm.ipynb 5KB charpter13_LightGBM lightgbm.ipynb 16KB charpter25_MCMC mcmc.ipynb 84KB charpter15_random_forest random_forest.ipynb 12KB cart.py 7KB README.md 113B charpter7_decision_tree utils.py 750B CART.ipynb 12KB example_data.csv 423B ID3.ipynb 42KB charpter17_kmeans kmeans.ipynb 7KB charpter8_neural_networks perceptron.py 1KB perceptron.ipynb 39KB neural_networks.ipynb 376KB charpter3_logistic_regression logistic_regression.ipynb 63KB charpter11_GBDT utils.py 909B cart.py 7KB gbdt.ipynb 8KB charpter20_MEM max_entropy_model.ipynb 10KB charpter18_PCA pca.ipynb 39KB charpter12_XGBoost xgboost.ipynb 20KB utils.py 1KB cart.py 7KB charpter6_knn knn.ipynb 61KB charpter22_EM em.ipynb 4KB charpter10_AdaBoost adaboost.ipynb 35KB charpter5_LDA LDA.ipynb 21KB资源评论
