Feature Scaling | Standardization Vs Normalization | Data Preprocessing | Python | TeKnowledGeek

Feature Scaling | Standardization Vs Normalization | Data Preprocessing | Python | TeKnowledGeek

This video will show you a comparative study of the two most famous techniques for feature scaling.
Most datasets contain "different magnitude variance". Why Do We Need to Perform Feature Scaling is the primary question to answer, then How to do feature scaling in machine learning using sklearn pre-processing library.

The important questions answered in this video, are
1. What is standardization and normalization technique in feature scaling?
2. What are the advantages/ disadvantages of using standardization and normalization techniques in feature scaling?
3. What are the scenarios of using standardization and normalization techniques in feature scaling?

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Related video title :
Famous Normalization Technique | MinMaxScaler | How to do Feature Scaling in Machine Learning

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reference:

https://towardsdatascience.com/preprocessing-with-sklearn-a-complete-and-comprehensive-guide-670cb98fcfb9

https://machinelearningmastery.com/standardscaler-and-minmaxscaler-transforms-in-python/


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tags : #StandardizationVsNormalization #StandardScaler #MinMaxScaler #FeatureScaling #FeatureEngineering​ #Data_Preprocessing​ #machine_learning​ #teknowledgeek​

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#Standardization_Vs_Normalization #Feature_Scaling #StandardScaler #MinMaxScaler #feature_scaling_in_machine_learning #feature_scaling_python #feature_scaling #what_is_feature_scaling_in_data_science #what_is_feature_scaling_in_machine_learning #feature_scaling_techniques #standardization #normalization_vs_standardization_statistics #normalization_vs_standardization_in_machine_learning #why_do_we_need_to_perform_feature_scaling #why_to_do_feature_scaling #teknowledgeek

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