├── LICENSE ├── OJ ├── AGNES │ ├── AGNES.py │ ├── AGNES_calc_dist.py │ └── sklearn_AGNES.py ├── Adaboost │ ├── AdaBoost.py │ └── sklearn_AdaBoost.py ├── DBSCAN │ ├── DBSCAN.py │ └── sklearn_DBSCAN.py ├── DicisionTree │ ├── ID3_DT.py │ ├── ID3_DT_backpruned.py │ ├── calcGini.py │ ├── calcInfoGain.py │ ├── calcInfoGainRatio.py │ └── sklearn_flowerclassifier.py ├── EM │ ├── EM.py │ └── EM_single.py ├── GMM │ ├── GMM.py │ └── sklearn_GMM.py ├── ISOMAP │ ├── ISOMAP.py │ └── sklearn_ISOMAP.py ├── KNN │ ├── KNN.py │ └── sklearn_KNN.py ├── LDA │ ├── LDA.py │ └── sklearn_LDA.py ├── LLE │ ├── LLE.py │ └── sklearn_LLE.py ├── LinearRegression │ ├── LinearRegression.py │ └── sklearn_LinearRegression.py ├── LogisticRegression │ ├── GradientDescent.py │ └── sklearn_digit_predict.py ├── MDS │ ├── MDS.py │ └── sklearn_MDS.py ├── NavieBayesLClassifier │ ├── NaiveBayesClassifier1.py │ ├── NaiveBayesClassifier2.py │ └── sklearn_news_predict.py ├── NeuralNetwork │ ├── pytorch_digital.py │ └── sklearn_bp.py ├── PCA │ ├── PCA.py │ └── sklearn_PCA.py ├── Perceptron │ ├── perceptron.py │ └── sklearn_perceptron.py ├── README.md ├── RandomForest │ ├── Bagging.py │ └── RandomForestClassifier.py ├── SVM │ ├── LinearSVC.py │ ├── smo.py │ ├── svc_predict.py │ └── svr_predict.py ├── kMeans │ ├── Kmeans.py │ ├── distance.py │ ├── mass.py │ └── sklearn_kmeans_cluster.py ├── 多分类学习 │ ├── OvO.py │ └── OvR.py ├── 模型评估与选择 │ └── AUC.py └── 聚类性能评估指标 │ ├── cluster_inner_accessment.py │ ├── cluster_outer_accessment.py │ ├── sklearn_cluster_performance.py │ └── sklearn_performance.py ├── README.md ├── 作业 ├── README.md ├── hw1 │ ├── ML2019-PS1.pdf │ └── ML2019-PS1.tex ├── hw2 │ ├── ML2019-PS2.pdf │ └── ML2019-PS2.tex ├── hw3 │ ├── ML2019-PS3.pdf │ └── ML2019-PS3.tex ├── hw4 │ ├── ML2019-PS4.pdf │ └── ML2019-PS4.tex ├── hw5 │ ├── ML2019-PS5.pdf │ └── ML2019-PS5.tex └── sol │ ├── PS1-solution.pdf │ ├── PS2-solution.pdf │ ├── PS3-solution.pdf │ ├── PS4-solution.pdf │ └── PS5-solution.pdf ├── 教材 └── 机器学习周志华.pdf └── 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