Lasso Regression with Scikit-Learn (Beginner Friendly)
Ғылым және технология
Welcome to our comprehensive tutorial on Lasso Regression using the scikit-learn library in Python! In this video, we dive deep into the world of Lasso Regression, a powerful machine learning technique used for feature selection and regularization.
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Пікірлер: 10
I made a mistake within this video: fit_transform must be only on train set, for test there must be only transform.
Just found your channel, loving the python tutorials
@RyanNolanData
9 ай бұрын
Glad you like them! I put out about 3 a week
Nice video! Say does LASO-Regression only apply to multiple linear regression where you have multiple variables that contribute to the target variable?
@RyanNolanData
9 ай бұрын
no, it can be applied to other linear regressions although multiple is probably most common
Very useful video, very cool. Saved me a bunch of time and effort from trying to learn it R A W.
@RyanNolanData
4 ай бұрын
Awesome glad you found some value
Dear Ryan, could you please write all these codes with pipelines and columns transformers, it would be great to see the best practice with all sklearn pipeline tools. Thank you for this great work, and more feature engineering please :)
@RyanNolanData
9 ай бұрын
Hey, have a pipeline and transformer videos. + working on a Kaggle project with them. I’ll also be using pipelines with the voting regressor + stacking vids. For the simple model vids, going to focus on background of model, basic example, and tuning