
机器学习
philpy_used
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逻辑回归
Sigmoid函数:y=11+e−zy=\frac{1}{1+e^{-z}}y=1+e−z1import numpy as npimport pandas as pdimport matplotlib.pyplot as pltfrom scipy.stats import logisticfig=plt.figure(figsize=(12,8))ax=fig.add_subplot(111)z=np.linspace(-6,6,10000)ax.plot(z,logistic.cdf原创 2020-09-25 11:05:55 · 839 阅读 · 0 评论 -
线性回归
导入所需的包以及创建数据:import numpy as npimport pandas as pdimport matplotlib.pyplot as pltfrom sklearn.linear_model import LinearRegressionfrom sklearn.metrics import r2_scoreimport statsmodels.api as smimport statsmodels.graphics.api as smgfrom sklearn.pre原创 2020-09-24 19:36:27 · 508 阅读 · 0 评论