Competition rules: 

 - Work in your course groups
 - Use the ordinary least squares (OLS) regression methods as studied in Sessions 2-4, including the advanced ones with feature engineering, regularizations, and other "twists." Note, there exist other methods which we have not studied yet. You are free to explore them, but if your group decides to try non-OLS methods (e.g., a random forest, which we will discuss in Session 5-6), please create two different Kaggle teams for your submissions to not mix up OLS and non-OLS results (e.g., G1_OLS, and G1_random_forest). The OLS results will be graded, but it could be insightful to see how much better other methods can do.
 - Have fun!