Presentation

The presentation tells a story about the project and includes the following:

Slides

[x] Presentations are finalized in Google Slides and should include:
[x] Slides are primarily images or graphics (rather than primarily text).
[x] Images are clear, in high-definition, and directly illustrative of subject matter.

The team members deliver the presentation in equal proportions. The live presentation should include the following:

[x] Demonstrates the interactivity of the dashboard in real time
[x] Adheres to the time limits provided by instructor
[x] Includes speaker notes, flashcards, or a video of the presentation rehearsal

[x] All code in the main branch is production-ready. All code is clean, commented, easy to read, and adheres to a coding standard (e.g., PEP8).

[x] Cohesive, structured outline of the project (this may include images, but they should be easy to follow and digest)
[x] Link to dashboard (or link to video of dashboard demonstration)
[x] Link to Google Slides presentation
[x] IMPORTANT: The descriptions and explanations required in all other project deliverables should also be in your READme.md as part of your outline, unless otherwise noted.

[x] At least one branch for each team member
[x] Each team member has at least four commits for the duration of the final segment (16 total commits per person)
[x] Christine1
[x] Christine2
[x] Christine3
[x] Christine4
[x] Laura1
[x] Laura2
[x] Laura3
[x] Laura4
[x] Josh1
[x] Josh2
[x] Josh3
[x] Josh4
[x] Link to Google Slides draft presentation

[x] Students will be expected to submit the working code for their machine learning model, as well as the following:
[x] Description of data preprocessing
[x] Description of feature engineering and the feature selection, including the decision-making process
[x] Description of how data was split into training and testing sets
[x] Explanation of model choice, including limitations and benefits
[x] Explanation of changes in model choice (if changes occurred between the Segment 2 and Segment 3 deliverables)
[x] Description of how the model was trained (or retrained, if the team is using an existing model)
[x] Description and explanation of model's confusion matrix, including final accuracy score
[x] Additionally, the model obviously addresses the question or problem the team is solving.
[x] If statistical analysis is not included as part of the current analysis, the team should describe how it would be included in the next phases of the project.

[x] Students will be expected to present a final project with a fully integrated database.
[x] Database stores static data for use during the project
[x] Database interfaces with the project in some format (e.g., scraping updates the database)
[x] Includes at least two tables (or collections, if using MongoDB)
[x] Includes at least one join using the database language (not including any joins in Pandas)
[x] Includes at least one connection string (using SQLAlchemy or PyMongo)
[x] IMPORTANT If you use a SQL database, you must provide your ERD with relationships.

[x] The dashboard presents a data story that is logical and easy to follow for someone unfamiliar with the topic. It includes all of the following:
[x] Images from the initial analysis
[x] Data (images or report) from the machine learning task
[x] At least one interactive element
[x] Either the dashboard is published or the submission includes a screen capture video of it in action.