Bucketing: Difference between revisions

34 bytes removed ,  19 February 2023
no edit summary
No edit summary
No edit summary
Line 11: Line 11:
However, it's essential to remember that bucketing may not always be the ideal approach for every situation. Depending on the data and specific analysis objectives, other techniques such as normalization or standardization may be more suitable.
However, it's essential to remember that bucketing may not always be the ideal approach for every situation. Depending on the data and specific analysis objectives, other techniques such as normalization or standardization may be more suitable.


==Types of Bucketing for Machine Learning==
==Types==
Machine learning utilizes several distinct bucketing types, each with their own advantages and drawbacks. Popular options include:
Machine learning utilizes several distinct bucketing types, each with their own advantages and drawbacks. Popular options include: