机器学习原理之logistic回归算法与代码实现

代码说明：

说明：  根据现有数据对分类边界线建立回归公式，以此进行分类，其核心是通过最优化算法寻找最佳回归系数（权重系数），主要应用于二分类。(Based on the existing data, regression formulas are established to classify the classification boundary lines. The core of this method is to find the best regression coefficients (weight coefficients) through the optimization algorithm, which is mainly used in the second classification.)

文件列表：

深度学习之六：机器学习原理之logistic回归算法与代码实现 .docx, 143561 , 2019-08-09