Frequency Encoding is a technique used in machine learning to handle categorical variables by replacing each category with its frequency in the dataset, thus transforming it into a numerical form. This method preserves the distribution of the categories and can be particularly useful for models that are sensitive to the scale of input features.

Frequency Encoding

Machine learning is a subset of artificial intelligence that involves the use of algorithms and statistical models to enable computers to improve their performance on a task through experience. It leverages data to train models that can make predictions or decisions without being explicitly programmed for specific tasks.

machine learning

Categorical variables represent data that can be divided into distinct categories or groups, often without any inherent order or ranking. They are crucial for statistical analysis and machine learning models, where they are typically encoded into numerical values to facilitate computation.

categorical variables

numerical form

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