Regression Models

开始时间: 06/27/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/regression-models

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课程详情

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.

回归模型:线性模型,顾名思义,使用线性假设将结果与一组感兴趣的预测变量相关联。回归模型是线性模型的子集,是数据科学家工具包中最重要的统计分析工具。本课程涵盖回归分析,最小二乘和使用回归模型进行推理。回归模型,ANOVA和ANCOVA的特殊情况也将涉及在内。将研究残差和变异性的分析。该课程将涵盖有关模型选择的现代思想以及包括散点图平滑在内的回归模型的新颖用法。

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课程简介

Linear models, as their name implies, relates an outcome to a set of predictors of interest using li

课程标签

数据科学 数据科学专项 数据分析 回归模型

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