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One-hot encoding

Definition of One-hot encoding

One-hot encoding: One-hot encoding is a technique used in machine learning to represent categorical variables as a vector of binary values. In one-hot encoding, each category is represented by a unique integer value, and the remaining values are set to 0. For example, if there are three categories, A, B, and C, then the vector would be [0, 1, 0]. This encoding allows for easy determination of the category of a given value, as well as efficient storage and manipulation.

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Feature Selection

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Definition of Feature Selection Feature Selection: Feature selection is the process of choosing which features (or attributes) of a data set to use in order to solve a problem. This is an important step in data science, as it can help reduce the complexity of a problem and improve the accuracy of predictions or models….

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Functional Programming

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Definition of Functional Programming Functional Programming: Functional programming is a style of programming in which the programmer focuses on functions instead of objects. In functional programming, functions are treated as first-class citizens, meaning they can be passed around and used like any other variable. Functional programming languages typically emphasize simplicity and purity, meaning that functions…

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Population

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Definition of Population Population: A population is the complete set of all individuals or items under consideration. In statistics, a population is often described by its parameters, such as its mean and standard deviation. The population can also simply be defined as the entire set of items or cases to be studied.

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Pandas

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Definition of Pandas Pandas is a software library written for the Python programming language that enables data analysis. It provides high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Pandas is free software released under the 3-clause BSD license.

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