The Ames housing dataset is one of the most popular ones for regression on Kaggle.
The project overview is available at the link below:
Kaggle: House Prices Advanced Regression Techniques
The project is scored using root mean squared logarithmic error ("RMSLE") and the goal is to take a set of training data and predict housing prices in the test data. I succeeded in attaining a top 17% score and utilized data exploration, feature engineering, scaling, model building, hyperparameter tuning, cross-validation, and ensemble construction.
You can see my output at the link below.