Regression Models
https://www.coursera.org/learn/regression-models?specialization=data-science-statistics-machine-learning
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.
Categoria: Data Science
Subcategoria: Probability and Statistics
Tipo de Curso: Course
Habilidades: Model Selection,Generalized Linear Model,Linear Regression,Regression Analysis,
Idioma: English
Subtitulos: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
Rating: 4.4stars
Vistas: 3.322
Sitio Web: Coursera
Duracion: Approx. 53 hours to complete
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