常用机器学习算法的简单手写实现，帮助更好理解算法

[{"title":"（ 43 个子文件 341KB ） 常用机器学习算法的简单手写实现，帮助更好理解算法","children":[{"title":"ML_gzh","children":[{"title":"DecisionTree","children":[{"title":"utils.py <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"search_feature.py <span style='color:#111;'> 5.98KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"utils.cpython-37.pyc <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 164B </span>","children":null,"spread":false},{"title":"analyse_tree.cpython-37.pyc <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"base.cpython-37.pyc <span style='color:#111;'> 3.79KB </span>","children":null,"spread":false},{"title":"best_split_regressor.cpython-37.pyc <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false},{"title":"best_split_classfier.cpython-37.pyc <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"split_data.cpython-37.pyc <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"ML_DecisionTree.cpython-37.pyc <span style='color:#111;'> 8.17KB </span>","children":null,"spread":false},{"title":"search_feature.cpython-37.pyc <span style='color:#111;'> 3.67KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 32B </span>","children":null,"spread":false},{"title":"split_data.py <span style='color:#111;'> 1.58KB </span>","children":null,"spread":false},{"title":"ML_decisionTree.py <span style='color:#111;'> 11.37KB </span>","children":null,"spread":false},{"title":"best_split_regressor.py <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"base.py <span style='color:#111;'> 4.90KB </span>","children":null,"spread":false},{"title":"best_split_classfier.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"analyse_tree.py <span style='color:#111;'> 1.57KB </span>","children":null,"spread":false}],"spread":true},{"title":"Cluster","children":[{"title":"GaussianCluster.py <span style='color:#111;'> 9.68KB </span>","children":null,"spread":false}],"spread":true},{"title":"LogisticRegression","children":[{"title":"ML_LogisticRegression.py <span style='color:#111;'> 8.23KB </span>","children":null,"spread":false},{"title":"Quasi_Newton.py <span style='color:#111;'> 9.73KB </span>","children":null,"spread":false}],"spread":true},{"title":"Perceptron","children":[{"title":"ML_Perceptron.py <span style='color:#111;'> 3.31KB </span>","children":null,"spread":false}],"spread":true},{"title":"Bayes","children":[{"title":"ML_NaiveBayes.py <span style='color:#111;'> 5.90KB </span>","children":null,"spread":false},{"title":"Semi_NaiveBayes.py <span style='color:#111;'> 19.08KB </span>","children":null,"spread":false},{"title":"Nbayes.py <span style='color:#111;'> 10.24KB </span>","children":null,"spread":false}],"spread":true},{"title":"tools","children":[{"title":"utils.py <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"utils.cpython-37.pyc <span style='color:#111;'> 1.37KB </span>","children":null,"spread":false},{"title":"loss_functions.cpython-37.pyc <span style='color:#111;'> 7.49KB </span>","children":null,"spread":false}],"spread":true},{"title":"loss_functions.py <span style='color:#111;'> 6.78KB </span>","children":null,"spread":false}],"spread":true},{"title":"LinearDiscriminantAnalysis","children":[{"title":"ML_LinearDiscriminantAnalysis.py <span style='color:#111;'> 5.43KB </span>","children":null,"spread":false}],"spread":true},{"title":"KNN_kdTree","children":[{"title":"ML_KNN.py <span style='color:#111;'> 7.50KB </span>","children":null,"spread":false},{"title":"KNN.py <span style='color:#111;'> 7.50KB </span>","children":null,"spread":false}],"spread":true},{"title":"Ensemble","children":[{"title":"__pycache__","children":[{"title":"loss_functions.cpython-37.pyc <span style='color:#111;'> 537B </span>","children":null,"spread":false}],"spread":true},{"title":"ML_GradientBoostingTree.py <span style='color:#111;'> 8.92KB </span>","children":null,"spread":false}],"spread":true},{"title":"FeatureEngineer","children":[{"title":"data","children":[{"title":"train_subset.csv <span style='color:#111;'> 1.48MB </span>","children":null,"spread":false}],"spread":true},{"title":"FE_CategoricalVar_Small.py <span style='color:#111;'> 2.98KB </span>","children":null,"spread":false},{"title":"FE_CategoricalVar_Large.py <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"Net","children":[{"title":"ML_SOMNet.py <span style='color:#111;'> 6.69KB </span>","children":null,"spread":false},{"title":"ML_BPNet.py <span style='color:#111;'> 10.34KB </span>","children":null,"spread":false},{"title":"somSet.txt <span style='color:#111;'> 5.40KB </span>","children":null,"spread":false},{"title":"dataSet_BP.txt <span style='color:#111;'> 11.08KB </span>","children":null,"spread":false},{"title":"ML_RBFNet.py <span style='color:#111;'> 4.62KB </span>","children":null,"spread":false}],"spread":true},{"title":"LinearRegression","children":[{"title":"ML_LinearRegression.py <span style='color:#111;'> 6.08KB </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]