搜索资源列表
Kaggle_Titanic-master
- 利用逻辑回归解决Kaggle泰坦尼克之灾 -Logistic regression to solve Kaggle Titanic disaster python code
LogitTwice
- 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
LogitMul
- 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
logisticPxgboost
- logistic模型变量选择以及xgboost算法实例-an example of logistic model selection and xgboost algorithm
LogisticRegression
- 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.
logRegres
- 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.
python数据分析之金融欺诈行为检测
- 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.)
python-logistic
- 对因变量为0-1属性变量，利用Logistic算法，对其进行回归预测(The dependent variable is the 0-1 attribute variable, and the Logistic algorithm is used to predict it)
Chaotic Systems Toolbox
- 这个工具箱包含一组函数，可以用来模拟一些最著名的混沌系统，其为相空间重构、模拟时间序列的线性特性、尺寸和噪声估计以及降噪提供了额外的功能。(This toolbox contains a set of functions which can be used to simulate some of the most known chaotic systems, such as: - The Henon map - The Ikeda map - The Logistic map - The