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

Linear, IV and GMM Regressions With Any Number of Fixed Effects

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)

A MATLAB library for sparse representation problems

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

R package that provides estimation methods for Gravity Models

OntoMaton facilitates ontology search and tagging functionalities within Google Spreadsheets.

The Terminology Service Suite project is a collection of interactive widgets designed to ease the integration of terminology service functions into third-party applications.

Master Degree Coursework: Econometrics I

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.

MS Excel OLS spreadsheets for geodesy

Take-Off Flight Path Analysis Tool for Aviation (ICAO)

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

Kaggle : New York City Taxi Trip Duration

My daily ML practices

R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...

Modelling and forecasting US election outcomes 🗽 ELT in python 🐍 OLS in Stata 🔢

Detecting structural breaks in time series data using statistical analysis and regression models in R.

IV technique. Replication & critique of N. Nunn paper using R