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所在平台: Udemy |
课程主页: https://www.udemy.com/course/binary-logistic-regression-minitab/
课程评论：没有评论
**Coursera课程——Minitab中的二元逻辑回归** 本课程将深入讲解数据科学、机器学习和统计学中最常用的分类技术之一：二元逻辑回归。 **课程概述：** 二元逻辑回归（也称为逻辑回归）用于基于一个或多个连续自变量预测二元输出（例如，是/否，真/假，病/健康）。本课程将使用Minitab 19进行分析，重点在于解释理论概念以及分析和解读结果。 虽然在Minitab中执行二元逻辑回归操作本身非常简单（只需简单的几步选择和点击），但理解和解释分析结果才是真正的挑战。 **课程内容涵盖：** * 二元逻辑回归的目的 * 赔率 (Odds) 和自然对数赔率 ln(Odds) 的概念 * 逻辑回归方程 * 优势比 (Odds Ratio) * 混淆矩阵 (Confusion Matrix) * ROC 曲线 (Receiver Operating Characteristic Curve) * 逻辑回归中的 R 方 (R-Squared) * Hosmer-Lemeshow 拟合优度检验 **项目实践：** 课程将包含一个项目，模拟一家麦片公司的营销人员调查新麦片广告活动的有效性。项目将考虑三个因素：收入、是否看过广告以及家中是否有小孩。我们将通过二元逻辑回归分析，来确定看过广告的人是否更有可能购买麦片。 **学习目标：** 完成本课程后，您将能够轻松地执行逻辑回归分析，并能够选择合适的模型。
In this course, I will teach you one of the most commonly used classification techniques in data science, machine learning and statistics and that is: Binary Logistic Regression.A binomial logistic regression is used to predict the binary output (yes/no, true/false, sick/healthy) based on one or more continuous independent variables. It is often referred to as logistic regression. However, in Minitab, it is called binary logistic regression.I will use Minitab 19 to perform the analysis. The focus of my teaching will be on explaining the theoretical concepts and on analyzing and interpreting the results of the analysis.Performing Binary Logistic Regression in Minitab is easy. It is just a few selections and clicks and you are done with it. However, the difficult part is understanding and interpreting the results.The following concepts are covered in this course:The purpose of Binary Logistic RegressionThe concept of Odds and ln(Odds)Logistic Regression EquationOdds RatioConfusion MatrixReceiver Operating Characteristic (ROC) CurveR-Squared in context of Logistic RegressionHosmer-Lemeshow Goodness of Fit TestProject work to practice all the above conceptsIn the project work, marketers at a cereal company investigate the effectiveness of an ad campaign for a new cereal. Three factors considered in this project are the income, whether the person has seen the advertisement and whether the person has kids in the house.Here we performed binary logistic regression to determine whether people who saw the ad are more likely to buy the cereal.After completing this course, you will be easily able to perform the logistic regression, select the model.
