Feature extraction
A machine learning model is equivalent to a function in mathematics or a method in computer programming. A machine learning model takes one or more parameters or variables as input and yields an output, called a prediction. In machine learning terminology, these input parameters or variables are called features. A feature is a column of the input dataset within a machine learning algorithm or model. A feature is a measurable data point, such as an individual's name, gender, or age, or it can be time-related data, weather, or some other piece of data that is useful for analysis.
Machine learning algorithms leverage linear algebra, a field of mathematics, and make use of mathematical structures such as matrices and vectors to represent data internally and also within the code level implementation of algorithms. Real-world data, even after undergoing the data engineering process, rarely occurs in the form of matrices and vectors. Therefore, the feature engineering...