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Bucketing: Difference between revisions
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==Introduction== | |||
Bucketing, also referred to as binning, is a data preprocessing technique in machine learning that involves grouping continuous numerical data into discrete categories or "buckets" based on their range of values. This can be beneficial for various reasons such as simplifying the data, eliminating noise and outliers, and improving model accuracy. In this article we'll provide an overview of bucketing in machine learning including its advantages, potential drawbacks, and how it's implemented. | Bucketing, also referred to as binning, is a data preprocessing technique in machine learning that involves grouping continuous numerical data into discrete categories or "buckets" based on their range of values. This can be beneficial for various reasons such as simplifying the data, eliminating noise and outliers, and improving model accuracy. In this article we'll provide an overview of bucketing in machine learning including its advantages, potential drawbacks, and how it's implemented. | ||