Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

OLS (twoway clustered standard errors), Imperfect Multicollinearity (Ridge and PCA), ARMA(p,q) with Bootstrap

Python package for conducting power analysis for experiments using regression and/or clustered data.

Python code meant to imitate the behavior and output of the R programming language's lm function.

Implementation of Machine learning algorithms only using numpy.

Implementation of time-varying SLR using OLS estimates

Conjunto de modelos de Inteligência Artificial implementados para a disciplina de IA do sexto semestre do curso de CC da Unifor (2023.2)

OLS regression with possibility of controlling for fixed effects and robust standard errors

Linear and nonlinear regression in python

Assessing the regression problem providing a linear model and a non-linear model.