A simple, fun case case study for new students of data. You are given a large dataset with 53 explanatory variables and 400,000 observations to create an accurate regression model. How would you solve the problem? The repository showcases my cohort-best solution with a RMSLE of 0.275.
Shoutouts to Elliot Saslow (https://github.com/Esaslow) for his help!