Insight Data Science Project: countMyStudent
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The document outlines a collaborative project titled 'Count My Student' aimed at analyzing student profiles to predict job application behavior. It seeks to identify features that influence application counts and differentiate between responsive and non-responsive students. Deliverables include the development of a validation framework using various classification models and the creation of a web application.
Insight Data Science Project: countMyStudent
- 1. Count My Student A collaborative project with a student career organization by Marianne Menictas
- 2. Problem Statement For any given student who has filled out their profile, how many applications are they likely to submit? Which types of students should the organization spend more effort reaching out to?
- 3. Deliverables Detect influencing features of student profile information leading to high or low counts of job applications
- 4. Deliverables Understand the profiles of students who don’t apply to jobs versus those who do apply Non responsive students jobs may not be relevant to students
- 6. Data
- 8. Validation ROC curve using Multiclass Random Forest Classifier
- 9. Thank you
- 11. ROC Multiclass Logistic Classifier Multiclass Random Forest Classifier
- 12. Precision vs Recall Curve Multiclass Logistic Classifier Multiclass Random Forest Classifier
- 13. Web-App
- 14. Web-App
- 15. Web-App