Скачать или смотреть How to Fit Linear Regression: Test Assumptions in R Rstudio | Model Diagnostic Tutorial Data Science

Learn how to fit a simple linear regression model with #R #rstudio
Test and check Multiple Linear Regression analysis Assumptions? are they met?

Preparing data for fitting a model
Split data intro train and test data
Build the model with functions
Check models performance with Caret Package
What is linearity? Normality? Equality of variance? Homoscedasticity?
Identify outliers, high influence values, cook distance?
Residuals and their relationship with fitted or predicted values?
What is coefficient of determination? mean squared error? R2
overfitting and leverage

Any comment or suggestion is welcome
Contact: [email protected]
Twitter :   / raulvaleriom  

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#Learn #Rstudio #R #Regression #Linear python from zero #beginner #Learning
Statistical analysis ## Factor, vector, list, jupyter, notebook
input and output # data mining #Machine learning and supervised learning
#Diagnostic #Assumptions #Normality #Homokedasticity #Variance