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Optimizing Machine Learning Models with Data Resampling in Python

T. Aditya Sai Srinivas, Y. Vinod Kumar, Y. Sravanthi, I.V. Dwaraka Srihith

Abstract


Data Resampling is a pivotal Data Science method for tailoring dataset size and distribution. It entails the alteration of an existing dataset by either augmenting or diminishing data points. If you seek guidance on dataset resampling, this article is your essential resource. Within this comprehensive guide, we will explore the intricacies of Data Resampling with Python, equipping you with the knowledge and skills to manipulate datasets effectively.


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References


https://thecleverprogrammer.com/2023/10/04/data-resampling-using-python/?fbclid=PAAaZdyAYp4J7dooPdajzXpvhOKYW8pM9UNloc5HgWTkJidSUQYL2DZ5LpOgo

https://www.tutorialspoint.com/how-to-resample-time-series-data-in-python

https://towardsdatascience.com/resample-function-of-pandas-79b17ec82a78

https://www.earthdatascience.org/courses/use-data-open-source-python/use-time-series-data-in-python/date-time-types-in-pandas-python/resample-time-series-data-pandas-python/

https://www.kaggle.com/code/elahehjafarigol/resampling-methods-in-python


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