pytorch implementation of Shrinkage loss in our ECCV paper 2018: Deep regression tracking with shrinkage loss

This repository houses the analysis codes from the Bayesian preclinical tutorial paper led by the DIA/ASA-BIOP Nonclinical Bayesian Working Group members.

Regularisation and Cross-Validation of Determinants of Egalitarian Democracy: Demonstration for R

Bayesian regression with shrinkage priors

Prediction of red wine quality using various regressions. I found this dataset online(UCI). I have implemented various regression such as Linear regression, Stochastic Gradient Descent Regression and Shrinkage methods such as Ridge regression, Lasso Regression, ElasticNet regression. All these regression methods have found the right solution. Th…

Statistical Learning application of different machine learning algorithms on dataset and their implementation in R covering model selection techniques, shrinkage Methods and Regularization techniques, different non linear models, re-sampling methods and Cross Validation, boosting, trees, supervised learning & Unsupervised learning