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Students will work on a real-world project in the capstone that will require them to apply skills from the entire data science pipeline: preparing, organising, and transforming data, building a model, and evaluating results. Each Capstone project is associated with partner stakeholders who have a vested interest in your results and are eager to put them into practise as a result of a collaboration with Coursolve. These projects will not be simple, and the outcome will not be predetermined; you must be willing to accept ambiguity and negative outcomes! However, we believe that the experience will be rewarding and will better prepare you for actual data science projects.
Syllabus :
1. Project A: Blight Fight
- Get the Data
- Understand the Domain
2. 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.
3. 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.
4. Week 4: Train and evaluate a simple model
- Use a trivial feature set to train and evaluate a simple model
5. Week 5: Feature Engineering
- Derive additional features and retrain to improve the efficacy of your model.
6. Week 6: Final Report
- Enter your final report for grading.
