Machine-Learning-

使用pyhton3语言对机器学习算法中的K近邻算法、线性回归、多项式回归、逻辑回归、PCA、SVM、决策树、随机森林、集成学习、boosting 等进行了算法的实现以及实验分析

Name		Name	Last commit message	Last commit date
.idea		.idea
.ipynb_checkpoints		.ipynb_checkpoints
KNN_function		KNN_function
pc		pc
playML		playML
venv		venv
10-3-Implement-Confusion-Matrix-Precision-and-Recall.ipynb		10-3-Implement-Confusion-Matrix-Precision-and-Recall.ipynb
10-5-Precision-Recall-Tradeoff.ipynb		10-5-Precision-Recall-Tradeoff.ipynb
10-6-Precision-Recall-Curve.ipynb		10-6-Precision-Recall-Curve.ipynb
10-7-ROC-Curve.ipynb		10-7-ROC-Curve.ipynb
10-8-Confusion-Matrix-in-Multiclass-Classification.ipynb		10-8-Confusion-Matrix-in-Multiclass-Classification.ipynb
11-4-SVM-in-scikit-learn.ipynb		11-4-SVM-in-scikit-learn.ipynb
11-5-Polynomial-Features-in-SVM-and-Kernel-Function.ipynb		11-5-Polynomial-Features-in-SVM-and-Kernel-Function.ipynb
11-7-What-is-RBF-Kernel.ipynb		11-7-What-is-RBF-Kernel.ipynb
11-8-RBF-Kernel-in-scikit-learn.ipynb		11-8-RBF-Kernel-in-scikit-learn.ipynb
11-9-SVM-Regressor.ipynb		11-9-SVM-Regressor.ipynb
12-3-Entropy-Split-Simulation.ipynb		12-3-Entropy-Split-Simulation.ipynb
12-4-Gini-Index.ipynb		12-4-Gini-Index.ipynb
12-5-CART-and-Decision-Tree-Hyperparameters.ipynb		12-5-CART-and-Decision-Tree-Hyperparameters.ipynb
12-6-Decision-Tree-Regressor.ipynb		12-6-Decision-Tree-Regressor.ipynb
12-7-Problems-of-Decision-Tree.ipynb		12-7-Problems-of-Decision-Tree.ipynb
13-1-What-is-Ensemble-Learning.ipynb		13-1-What-is-Ensemble-Learning.ipynb
13-3-Bagging-and-Pasting.ipynb		13-3-Bagging-and-Pasting.ipynb
13-4-OOB-and-More-About-Bagging-Classifier.ipynb		13-4-OOB-and-More-About-Bagging-Classifier.ipynb
13-5-Random-Forest-and-Extra-Trees.ipynb		13-5-Random-Forest-and-Extra-Trees.ipynb
13-6-AdaBoost-and-Gradient-Boosting.ipynb		13-6-AdaBoost-and-Gradient-Boosting.ipynb
4-4-Hyper-parameter.ipynb		4-4-Hyper-parameter.ipynb
4-6网格搜索.ipynb		4-6网格搜索.ipynb
4-7数据归一化处理.ipynb		4-7数据归一化处理.ipynb
4-8Scikit-learn中的Scaler.ipynb		4-8Scikit-learn中的Scaler.ipynb
5-10-More-about-Linear-Regression.ipynb		5-10-More-about-Linear-Regression.ipynb
5-3实现Simple Linear Regression.ipynb		5-3实现Simple Linear Regression.ipynb
5-5_MSE-vs-MAE.ipynb		5-5_MSE-vs-MAE.ipynb
5-8-Linear-Regression.ipynb		5-8-Linear-Regression.ipynb
6-2-Gradient-Simulation.ipynb		6-2-Gradient-Simulation.ipynb
6-4-Implement-Gradient-Descent-in-Linear-Regression.ipynb		6-4-Implement-Gradient-Descent-in-Linear-Regression.ipynb
6-5-Vectorize-Gradient-Descent.ipynb		6-5-Vectorize-Gradient-Descent.ipynb
6-6-Stochastic-Gradient-Descent.ipynb		6-6-Stochastic-Gradient-Descent.ipynb
6-7-SGD-in-scikit-learn.ipynb		6-7-SGD-in-scikit-learn.ipynb
6-8-Gradient-Debugging.ipynb		6-8-Gradient-Debugging.ipynb
7-3-Implement-PCA-in-BGA.ipynb		7-3-Implement-PCA-in-BGA.ipynb
7-4-Getting-First-N-Components.ipynb		7-4-Getting-First-N-Components.ipynb
7-5-PCA.ipynb		7-5-PCA.ipynb
7-6-PCA-in-scikit-learn.ipynb		7-6-PCA-in-scikit-learn.ipynb
8-1-Polynomial-Regression.ipynb		8-1-Polynomial-Regression.ipynb
8-2-Polynomial-Regression-in-scikit-learn.ipynb		8-2-Polynomial-Regression-in-scikit-learn.ipynb
8-3-Overfitting-and-Underfitting.ipynb		8-3-Overfitting-and-Underfitting.ipynb
8-5-Learning-Curve.ipynb		8-5-Learning-Curve.ipynb
8-6-Validation-and-Cross-Validation.ipynb		8-6-Validation-and-Cross-Validation.ipynb
8-8-Model-Regularization-and-Ridge-Regression.ipynb		8-8-Model-Regularization-and-Ridge-Regression.ipynb
8-9-LASSO-Regression.ipynb		8-9-LASSO-Regression.ipynb
9-4-Implement-Logistic-Regression.ipynb		9-4-Implement-Logistic-Regression.ipynb
9-5-Decision-Boundary.ipynb		9-5-Decision-Boundary.ipynb
9-6-Polynomial-Features-in-Logistic-Regression.ipynb		9-6-Polynomial-Features-in-Logistic-Regression.ipynb
9-7-Logistic-Regression-in-scikit-learn.ipynb		9-7-Logistic-Regression-in-scikit-learn.ipynb
9-8-OVR-and-OVO.ipynb		9-8-OVR-and-OVO.ipynb
KNN2.ipynb		KNN2.ipynb
KNN基础.ipynb		KNN基础.ipynb
README.md		README.md
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
Untitled2.ipynb		Untitled2.ipynb
matplotlib.ipynb		matplotlib.ipynb
notebook-test.ipynb		notebook-test.ipynb
numpy.ipynb		numpy.ipynb
测试我们的算法KNN.ipynb		测试我们的算法KNN.ipynb
超参数.ipynb		超参数.ipynb

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