In this online data science specialization, you will learn to use intermediate and advanced statistical modeling techniques, including the theory and application of linear regression analysis, ANOVA ...

If you like to play with numbers and advance your data science skill set ... If you want to go further in linear regression, check my Google Page Speed Insights OLS model. I’ve built my own ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

A method commonly used to fit non-linear curves to data instead of straight regression lines is polynomial regression. This method uses the same principles as linear regression but models the ...

As well as this, they have identified the most effective features for examining COVID-19 data with linear regression models, which should be of help to bioinformaticians studying datasets where ...

Modeling linear regression in Excel is easier with the Data Analysis ToolPak ... 2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID), December 2020.

forestry and environmental science. Topics include multiple linear, curvilinear and non-linear regression, hierarchical grouped data and mixed-effects models. Emphasis is placed on application of ...

Advances in technology have resulted in what seems like an endless amount of data. From personal wearable ... generalized linear regression models, statistical computing and nonparametric regression.

She holds a Bachelor of Science in Finance degree ... relationships at play in your data, so you can choose the correct regression model, whether linear or nonlinear. Linear regression models ...