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Regression

Last updated Sep 6, 2022 Edit Source

In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the ‘outcome’ or ‘response’ variable) and one or more independent variables (often called ‘predictors’, ‘covariates’, ’explanatory variables’ or ‘features’)

See:

# Resources

# Linear Regression

# Least squares

# Principal component regression

# Generalized linear models (GLM)

# Logistic regression

See AI/Supervised Learning/Classification

# Regularized regression

See AI/Supervised Learning/Regularized regression

# SVM

See AI/Supervised Learning/Classification

# Gaussian Process

See AI/Supervised Learning/Gaussian Process

# Tree-based approaches

See AI/Supervised Learning/Ensemble learning and AI/Supervised Learning/Classification

# K-nearest neighbors

# Approximate nearest neighbors

# Code