Skip to content
#

robust-regresssion

Here are 23 public repositories matching this topic...

Applied analysis on the Bayesian student-t "Robust" regression model with Jeffrey's prior. Compared its model performance and robustness of posterior distributions with the Gaussian model when outliers are present.

  • Updated Dec 7, 2018
  • R

In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method where the construction of sample distribution of given statistics occurring through resampling the same observed sample.

  • Updated Nov 27, 2019
  • R

In this project I have implemented 15 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

  • Updated Mar 16, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the robust-regresssion topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the robust-regresssion topic, visit your repo's landing page and select "manage topics."

Learn more