Feature Scaling In Under 7 Minutes

Feature Scaling In Under 7 Minutes

Welcome to this video about feature scaling! Feature scaling is a technique used in machine learning to normalize the range of features, or variables, in a dataset. By scaling the features, we can improve the performance of machine learning models and ensure that no single feature dominates the model's training process. In this video, we'll explore the concept of feature scaling and how it can be applied in practice.

Course Link HERE: https://sds.courses/python-ml-level-1

You can find us also here:

Website: https://www.superdatascience.com/
Facebook: https://www.facebook.com/groups/superdatascience
Twitter: https://twitter.com/superdatasci
Linkedin: https://www.linkedin.com/company/superdatascience/

Contact us at: [email protected]

#FeatureScaling #machinelearning

Тэги:

#Feature_Scaling #machine_learning #feature_scaling_in_machine_learning #feature_scaling_python #feature_scaling_example #what_is_feature_scaling #feature_scaling_in_python #why_do_we_need_to_perform_feature_scaling #how_to_do_feature_scaling_in_machine_learning #how_to_do_feature_scaling_in_python #what_is_the_maximum_value_for_feature_scaling #feature_scaling_normal_equation #feature_scaling_in_machine_learning_python #feature_scaling_in_hindi #how_to_do_feature_scaling

Скачать видео