How to create and optimize a baseline ElasticNet regression model?

ElasticNet is a linear regression model that also includes regularization. Regularization, absent in linear regression, is used to avoid overfitting a model. This video helps you create and optimize a baseline ElasticNet regression model.
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[ProjectProLearnByBuilding]

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[patite]

Thank you for the video. The code on the website is slightly different from the one in the video. It's not clear the purpose of the parameters normalize and selection. How can you choose from them in the program?

[florinaling]

Elastic net is combination of lasso and ridge. In this code i cant see where is lasso n ridge regression implemented or is it behind the scene of the elastic net?