You can get this dataset from Kaggle (you’ll need to register)
Dataset: House Prices Train (upload train.csv)
Outcome: SalePrice
This dataset lets you explore a continuous outcome (where we model a numeric value) as opposed to a categorical/binary outcome and Aible will find the impact of different characteristics of the property on selling price - such as size, neighbourhood, number of bathrooms etc.
Some example questions:
- How important are garages with respect to SalePrice?
- What is the net impact in dollars of an unfinished garage on the overall mean sale price?