Bayesian-Linear-Regression
Overview: Experiments with Bayesian Linear Regression Your goals in this assignment are (i) to investigate the effect of the number of examples, the number of features, and the regularization parameter on the performance of the corresponding algorithms, and (ii) to investigate two methods for model selection in linear regression (evidence maximization and cross validation). In all your experiments you should report the performance in terms of the mean square error