Data Scaling in Python | Minmax Scaler |Standard Scaler|Robust Scaler |Python Tutorial| IvyProSchool

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Scaling data is an important step in the data preprocessing. In this video, we will learn how to perform it on the given data with different methods like minmax scaler, standard scaler and robust scaler. Scaling refers to the process of transforming the input data to have a specific range or distribution. If not scaled, the feature with a higher value range starts dominating the algorithms. Since different features in the data may have different scales, and some machine learning algorithms are sensitive to the scale of the input data. By scaling the data, we can ensure that all features have a similar scale, which can improve the performance of the machine learning model.

00:00 Introduction
00:30 Data Scaling and its need
02:46 Importing python packages and dataframe
03:21 Feature Engineering
03:56 Scaling the data
04:10 MinMax Scaler
07:43 Standard Scaler
09:59 Robust Scaler
12:14 Conclusion

#datascaling #pythontutorial #minmax #standardscaler #robustscaler #python #datawithivy

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