Hash encoding is a technique used to convert categorical data into numerical format by applying a hash function, which allows for efficient storage and retrieval in machine learning models. It is particularly useful in dealing with high cardinality categorical features, as it reduces the dimensionality while maintaining the uniqueness of the data representation.

Hash Encoding

Hash encoding

Categorical data represents variables that can be divided into distinct categories, often without a natural order, and is used in statistical analysis to classify data points. Handling categorical data effectively is crucial for accurate data analysis and modeling, as it often requires encoding techniques to convert it into a numerical format for algorithms that require numerical input.

categorical data

numerical format

A hash function is a mathematical algorithm that converts an input (or 'message') into a fixed-size string of bytes, typically a hash code. It is widely used in computer science for data indexing, retrieval, and encryption, ensuring data integrity and security.

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