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利用逻辑回归解决Kaggle泰坦尼克之灾 -Logistic regression to solve Kaggle Titanic disaster python code
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基于逻辑回归的二分类算法代码,能很好的实现-Binary logistic regression based algorithm code, can achieve a good
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基于逻辑回归的多分类问题,可以实现至少三类数据的分类-Classification based on multiple logistic regression, classification can be achieved at least three types of data
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本例是用Python写的简单的逻辑回归的例子,可以下载试试。-This case is an example of a simple logistic regression written in Python, you can download a try.
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Logistic回归主要目的是寻找一个非线性sigmoid的最佳拟合参数,采用梯度上升算法可以达到局部的最优化-The main purpose of Logistic regression is to find the best fitting parameters of a nonlinear sigmoid, and the gradient ascent algorithm can be used to achieve the local optimization.
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用python写的一个关于金融欺诈行为检测的数据分析程序,用的是回归预测模型(This is a data anlysis program for the detection of financial fraud, based on logistic regression model.)
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