Path: blob/master/projects/project_3/project3-rubric.md
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RUBRIC
Project 3 | Data Science
Your project will be assessed using the following standards, as defined by the data science workflow:
Refine & Build
Acceptable performance for this standard is based on how well you've applied specific learning goals within your deliverable. To review the full list of data science standards, see the course syllabus.
REFINE & BUILD
Meets Expectations: Did you: Identify trends and outliers? Apply descriptive and inferential statistics? Document and transform data?
Performance Evaluation
Mark boxes with an 'X'
| Requirements | Incomplete (0) | Does Not Meet Expectations (1) | Meets Expectations (2) | Exceeds Expectations (3) |
|---|---|---|---|---|
| Create dummy variables | ||||
| Calculate OR by hand | ||||
| Complete a logistic regression using stats models and interpret your findings | ||||
| Calculate predicted probabilities |
Notes:
Score:
Based on the requirements, you can earn a maximum of 12 points on this project.
Your total score is: #
PROGRESS REPORT
Student Check-in:
| HIGHLIGHTS | GROWTH OPPORTUNITIES | DEVELOPMENT PLAN |
|---|---|---|