Implementing "Feature Scaling and Normalization Techniques" for Utility to Input Dataset

[kwanit1142]

Is your feature request related to a problem? Please describe. For better accuracy and easier processing.

Describe the solution you'd like Attaching Resources accordingly, for reference:-

https://sebastianraschka.com/Articles/2014_about_feature_scaling.html https://towardsdatascience.com/understand-data-normalization-in-machine-learning-8ff3062101f0 https://developers.google.com/machine-learning/data-prep/transform/normalization https://www.analyticsvidhya.com/blog/2020/04/feature-scaling-machine-learning-normalization-standardization/ https://kharshit.github.io/blog/2018/03/23/scaling-vs-normalization#:~:text=Feature%20scaling%20(also%20known%20as,while%20using%20machine%20learning%20algorithms.

Describe alternatives you've considered Explore More techniques and try to incorporate them in Neural Networks too.

Approach to be followed (optional) Try to build it in a file like preprocess_utils.py and importing it into other models

[kwanit1142]

Closing this issue, as it is finished, thanks to @ShreyaSachan and @devyani-code