https://blog.csdn.net/ljw_study_in_CSDN/article/details/117775766 博客配套代码+数据集文件

基于logistic映射的图像加密算法，有matlab代码，能够运行，加密

基于pytorch的实现logistic和softmax回归，模型的创建分别含手动和torch，博客见https://blog.csdn.net/qq_37534947/article/details/108179408

利用该软件可以迅速解决logistic人口增长模型的数量和变化率

一本很好的关于逻辑回归分析的书 Review "...The book is a classic, extremely well written, and it includes a variety of software packages and real examples...." -- The Statistician, Vol. 51, No.2, 2002 "...an excellent book that balances many objectives well.... All statistical practitioners...can benefit from this book...Applied Logistic Regression is an ideal choice." -- Technometrics, February 2002 "...it remains an extremely valuable text for everyone working or teaching in fields like epidemiology..." -- Statistics in Medicine, No.21, 2002 "...the revised text continues to provide a focused introduction to the logistic regression model and its use in methods for modelling..." -- Short Book Reviews, Vol. 21, No. 2, August 2001 "In this revised and updated edition of the popular test, the authors incorporate theoretical and computing advances from the last decade." -- Journal of the American Statistical Association, September 2001 Product Description From the reviews of the First Edition. "An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."-Choice "Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent."-Contemporary Sociology "An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical."-The Statistician In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic reg

在这个程序中给出了改变控制参数“a”的逻辑图最初计算 y=x 线。 然后禁用它以启用获取逻辑曲线的第二行。

内含竞赛数据集creditcard.csv，简单处理imbalaced问题，采用逻辑回归算法，用度量标准进行评价。 ·Jupyter notebook

logistic回归二分类的python实现博文的源数据，想要对着代码来操作一遍的伙伴们可以在这里下载！

基于Logistic Regression模型实现手写数字识别

ELISA Calc工具，可以生成直线回归、二次三次曲线回归、logistic曲线拟合、三次样条插值等拟合曲线图，也可用于X计算Y和Y计算X，和A、B、C、D，R^2值