The Code gives you an example of my Kaggle Competition Submission which got me under the Top 20%. It is a short example of various Machine Learning Regression Techniques combined to an Averaged Model.
I was testing many combinations of ensemble models containing the LassoCV, RidgeCV, ElasticNetCV, KernelRidge, GradientBoostingRegression and some more not shown in the code, finding out that for me the ensemble of LassoCV and GradientBosstingRegression worked out the best.
You can get access to the Competition and the Data by following this Link
Primarly I used the Machine Learning library of SciKit Learn, for more informations about the used and a lot more models see here.