Regression
2022-11-24
Support Vector Regression
This article explains Support Vector Regression (SVR), a powerful and versatile machine learning algorithm for predicting continuous target variables.
Machine Learning
Regression
Python
sklearn
2022-11-23
Polynomial Regression
This article covers Polynomial Regression, an extension of Linear Regression that models complex nonlinear relationships between variables.
Machine Learning
Regression
Python
sklearn
2022-11-22
K-Nearest Neighbors (KNN) Regression
This article covers KNN Regression, a non-parametric supervised learning algorithm for regression tasks.
Machine Learning
Regression
Python
sklearn
2022-11-22
Ridge Regression
This article explains Ridge Regression, a regularization technique used in Linear Regression models to address the issue of multicollinearity. It describes the mathematical foundation of Ridge Regression, including the cost function and L2 penalty term.
Machine Learning
Regression
Python
sklearn
2022-11-21
Lasso Regression
This article covers the fundamentals of Lasso Regression, including its need for regularization and mathematical foundations.
Machine Learning
Regression
Python
sklearn
2022-11-20
Linear Regression
This article covers the basics of linear regression, including its definition, assumptions, and types.
Machine Learning
Regression
Python
sklearn
2022-05-24
Regression Metrics
This article explores the common performance metrics for regression problems, discussing Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, R-squared, Adjusted R-squared, Mean Absolute Percentage Error, and Median Absolute Deviation.
Machine Learning
Regression
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