- Project A: Blight Fight
- In this project, you will build a model to predict when a building is likely to be condemned. The data is real, the problem is real, and the impact is real.
- Week 2: Derive a list of buildings
- You are given sets of incidents with location information; you need to use some assumptions to group these incidents by location to identify specific buildings.
- Week 3: Construct a training dataset
- Construct a training set by associating each of your buildings with a ground truth label derived from the permit data.
- Week 4: Train and evaluate a simple model
- Use a trivial feature set to train and evaluate a simple model
- Week 5: Feature Engineering
- Derive additional features and retrain to improve the efficacy of your model.
- Week 6: Final Report
- Enter your final report for grading.