MachineLearing-practice

这是一个机器学习入门的代码库,主要部分实现了机器学习算法和sklearn中实现作用这里所有的代码基于python实现,主要工具为jupyter notbooke.

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
.ipynb_checkpoints		.ipynb_checkpoints
datasets/mldata		datasets/mldata
pycharm_project		pycharm_project
10-3 实现混淆矩阵，计算召回率和精准率.ipynb		10-3 实现混淆矩阵，计算召回率和精准率.ipynb
10-7 ROC曲线.ipynb		10-7 ROC曲线.ipynb
11-4 sklearn 中的SVM算法.ipynb		11-4 sklearn 中的SVM算法.ipynb
11-5 SVM使用多项式特征.ipynb		11-5 SVM使用多项式特征.ipynb
11-7直观理解高斯函数.ipynb		11-7直观理解高斯函数.ipynb
11-8高斯核函数的直观了解.ipynb		11-8高斯核函数的直观了解.ipynb
12-1 决策树.ipynb		12-1 决策树.ipynb
12-3模拟信息熵进行决策树的划分.ipynb		12-3模拟信息熵进行决策树的划分.ipynb
12-4 基尼系数.ipynb		12-4 基尼系数.ipynb
12-5 决策树解决回归问题.ipynb		12-5 决策树解决回归问题.ipynb
12-7 并差集的局限性（决策树）.ipynb		12-7 并差集的局限性（决策树）.ipynb
4-1KNN算法.ipynb		4-1KNN算法.ipynb
4-2-KNN算法的封装（sklearn中自带的knn算法）.ipynb		4-2-KNN算法的封装（sklearn中自带的knn算法）.ipynb
4-3 超参数.ipynb		4-3 超参数.ipynb
4-4 数据归一化.ipynb		4-4 数据归一化.ipynb
4-5 计算预测的准确度.ipynb		4-5 计算预测的准确度.ipynb
4-Hyper.ipynb		4-Hyper.ipynb
5-10 关于线性回归模型的讨论.ipynb		5-10 关于线性回归模型的讨论.ipynb
5-1Linear(线性回归).ipynb		5-1Linear(线性回归).ipynb
5-2simple Linear Regression.ipynb		5-2simple Linear Regression.ipynb
5-3衡量回归算法的标准.ipynb		5-3衡量回归算法的标准.ipynb
5-9 scikit - learn 中的回归问题.ipynb		5-9 scikit - learn 中的回归问题.ipynb
6-1线性回归梯度下降算法.ipynb		6-1线性回归梯度下降算法.ipynb
6-2在线性回归中使用梯度下降法.ipynb		6-2在线性回归中使用梯度下降法.ipynb
6-3.ipynb		6-3.ipynb
6-4批量梯度下降法&随机梯度下降法.ipynb		6-4批量梯度下降法&随机梯度下降法.ipynb
6-5 sklearn 中的随机梯度下降法.ipynb		6-5 sklearn 中的随机梯度下降法.ipynb
6-6.ipynb		6-6.ipynb
6-7 sklearn中的随机梯度下降法.ipynb		6-7 sklearn中的随机梯度下降法.ipynb
6-7.ipynb		6-7.ipynb
6-8关于梯度的调试.ipynb		6-8关于梯度的调试.ipynb
7-3使用梯度上升法求解主成分.ipynb		7-3使用梯度上升法求解主成分.ipynb
7-4.ipynb		7-4.ipynb
7-5.ipynb		7-5.ipynb
7-6 Sklearn 中的 PCA.ipynb		7-6 Sklearn 中的 PCA.ipynb
7-7 MNIST.ipynb		7-7 MNIST.ipynb
7-8 PCA的降噪功能.ipynb		7-8 PCA的降噪功能.ipynb
7-9 人脸识别和特征脸.ipynb		7-9 人脸识别和特征脸.ipynb
8-1 多项式回归.ipynb		8-1 多项式回归.ipynb
8-2 sklearn 中的多项式回归.ipynb		8-2 sklearn 中的多项式回归.ipynb
8-3 过拟合和欠拟合.ipynb		8-3 过拟合和欠拟合.ipynb
8-4 训练集和测试集的意义.ipynb		8-4 训练集和测试集的意义.ipynb
8-5 学习曲线.ipynb		8-5 学习曲线.ipynb
8-6 交叉验证.ipynb		8-6 交叉验证.ipynb
8-7 偏差方权衡.ipynb		8-7 偏差方权衡.ipynb
8-8.ipynb		8-8.ipynb
8-9 LASSO.ipynb		8-9 LASSO.ipynb
9-1 sigmoid 函数.ipynb		9-1 sigmoid 函数.ipynb
9-3 实现逻辑回归.ipynb		9-3 实现逻辑回归.ipynb
9-6 逻辑回归中添加多项式特征.ipynb		9-6 逻辑回归中添加多项式特征.ipynb
9-7 sklearn中的逻辑回归.ipynb		9-7 sklearn中的逻辑回归.ipynb
9-9 OvR and OvO.ipynb		9-9 OvR and OvO.ipynb
README.md		README.md
matplotlib绘制三维图.ipynb		matplotlib绘制三维图.ipynb
复习knn算法.ipynb		复习knn算法.ipynb

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