# Alternative regression model algorithms for machine learning

I am looking for not so known regression models and if possible a python library that implements it.

In my quiver I have:

• Generalized Linear Models, Linear, Lasso, Ridge...
• Decision Tree based model: CART, Random Forest, Gradient Boosting Decision trees(xgb,lightgbm,catboost)
• Support Vector Machines
• Knn Regressor
• Neural Networks

Are there regression algorithm less known? I am looking for alternatives models to add to my quiver.

Multiple regression
multivariate regression
Mixed Models
elastic search
Partial Least Squares regression
Logistic regression
Bayesian regression and many more..


When you google you'll find first page suggestions like https://www.listendata.com/2018/03/regression-analysis.html , https://www.techfunnel.com/information-technology/regression-analysis-types/ and https://www.kaggle.com/eraaz1/a-comprehensive-guide-to-advanced-regression

• note that multiple regresion, multivariate regression, elastic search, logistic regression all fall under the category of Generalized Linear Models. So its more of the same – Carlos Mougan Jul 23 at 13:02
• Really? Ok, didn't know, thanks! Then GLM is quite a lot :) – Ben Jul 23 at 13:09