Min-Max and Standard Scaler Feature Scaling Data Pre-processing Machine Learning
In this video I explain the importance of Feature Scaling. Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing, it is also known as data normalization and is generally performed during the data preprocessing step. I explain two methods : min-max normalization and z-score standard npormalization
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Relevant Links:
https://en.wikipedia.org/wiki/Feature...
https://scikit-learn.org/stable/modul...
https://scikit-learn.org/stable/datas...
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