Apply machine learning to predict and avoid streetcar delays using TTC Streetcar Delay Data (https://open.toronto.ca/dataset/ttc-streetcar-delay-data/).
Follow the Appendix B Machine Learning Project Checklist (uploaded as pdf file) to develop a
detailed plan for the development of your application. Each item from the checklist must be discussed
and clearly specified how it will be handled in your project. Note, for “Shortlist Promising Models”
subsection, you should start with 8-10 models (must include neural networks and XGBoost) and reduce
to 3-5 best as per instructions.
The first deliverable must include at minimum all up to Shortlist Promising Models step.
The special focus of the final deliverable will be on how you have combined the best methods in order
to achieve significant performance boost.
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