👉 The term "preprocessed" refers to a process or procedure that involves transforming raw data into a more suitable format for analysis, interpretation, or reporting. This can include removing outliers, normalizing values, scaling ranges, and converting categorical variables to numerical ones.
In the context of statistics and machine learning, preprocessing is often used in the following ways:
1.
Data Cleaning
: It includes tasks like removing missing values, handling missing data types, and correcting inconsistencies.
2.
Feature Selection
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What is the definition of Preprocessed? 🙋
