[PYTHON] About Linear Models

About Linear Models

The linear model is summarized with reference to scikit-learn official website.

Ordinary Least Squares¶ Least Squares Regression (OLS)

Ridge regression and classification¶

Lasso¶

Multi-task Lasso

Elastic-Net

Multi-task Elastic-Net

Least Angle Regression

LARS Lasso

Orthogonal Matching Pursuit (OMP)

Bayesian Regression

Logistic regression

Stochastic Gradient Descent - SGD

Perceptron

Passive Aggressive Algorithms

Robustness regression: outliers and modeling errors

Polynomial regression: extending linear models with basis functions

Recommended Posts

About Linear Models
About CAGR
About virtiofs
About python-apt
About Permission
About sklearn.preprocessing.Imputer
About gunicorn
About requirements.txt
About locale
About permissions
About Opencv ②
About axis = 0, axis = 1
About Opencv ③
About import
About numpy
About pip
About Linux
Linear regression
About numpy.newaxis
About the Normal Equation of Linear Regression
About endian
About Linux
About import
About Opencv ①
About Linux
About Linux
About Linux ①
About cv2.imread
About _ and __
About wxPython
Introduction to Generalized Linear Models (GLM) with Python