Here is my stab at statistical regression regarding house sale prices within King County, WA. The independent variables concern such data as number of bathrooms and whether the property has a nice view and I used them to predict what price any given house in the data actually sold for, using a support vector machine (or SVM) library. Of course there are very few perfect algorithms and here there is no exception. So how good did I do? Well, here's likely the best outcome on machine learning hub Kaggle, with over 700 up-boats:
His best model had a RMSE of 150177.258 US dollars. If you run my code you should get a RMSE of 166832.8 US dollars. I may not be the absolute best in the arena of machine learning but scoring only ~11% more than the true pros on the test set—remember, it's like golf: the lower, the better—isn't too awful for jack of all trades like me.