qq_41893089的博客

学习目标：tensorflow标准化编译对Iris模型进行拟合学习产出：import numpy as npimport tensorflow as tffrom sklearn.datasets import load_irisdata = load_iris()iris_data = data.datairis_target = data.targetiris_target = np.float32(tf.keras.utils.to_categorical(iris_targe

学习目标：sklearn的加州数据集预测，回归，评价模型学习产出：import numpy as npfrom sklearn.linear_model import LinearRegressionfrom sklearn.datasets import load_bostonfrom sklearn.model_selection import train_test_split#首先要加载数据boston = load_boston()boston_data = boston.da

学习目标：用sklearn库，预测鲍鱼年龄练习学习产出：import pandas as pdimport numpy as npfrom sklearn.svm import SVCfrom sklearn.model_selection import train_test_splitfrom sklearn.preprocessing import StandardScalerfrom sklearn.metrics import classification_report#首先导入

学习目标：使用SVM算法构建分类模型，绘制roc曲线，模型评价学习内容：1、 使用svm算法构建分类器2、 加载数据集，划分数据集3、 训练模型，预测测试数据集4、 统计recall，f1，precision，accuracy等5、绘图ROC曲线学习代码：import numpy as npfrom sklearn.datasets import load_breast_cancerfrom sklearn.svm import SVCfrom sklearn.model_se