Logistic Regression
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
A design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences.
The systematic computational analysis of data or statistics to understand and improve business performance.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.