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Scaling Inputs during Prediction using Sklearn's StandardScalar

Standard Scaling

StandardScaler

sklearn.linear_model

standardscaler sklearn predict

Predicting new data using sklearn after standardizing the training data

scikit-learn: how to scale back the y predicted result

Standardization using StandardScaler

Apply StandardScaler in Pipeline in sklearn

Scaling during prediction

scale

prediction

Автор: Bhavesh Bhatt

Загружено: 2019-03-22

Просмотров: 11546

Описание: Scikit Learn's preprocessing module has a StandardScaler function which helps us scale our data between -1 to 1. However, this process is done during the preprocessing stage of the model building. How do we scale the inputs at prediction? Do we have the access of the scale and mean of the scaled inputs. I'll answer all the question in the following video.

Link to the Notebook - https://github.com/bhattbhavesh91/GA_...

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.

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You can find me on:
GitHub - https://github.com/bhattbhavesh91
Medium -   / bhattbhavesh91  

#standardscalar #sklearn #prediction #machinelearning

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Scaling Inputs during Prediction using Sklearn's StandardScalar

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