Client Overview
Established in 1939, 9 Administrators | 900 students | 75+ faculty members, 4000+ nurses and midwives graduated with Advanced Practice Degrees
Business Need
Use of ML and algorithms to predict the following:
- Predicted enrolments (Prediction for each year/ terms in a year)
- Failing GPA counts
- Failed grade counts
Key Features
- Used Time series analysis & Auto regressive model
- Built an AWS Sagemaker notebook that:
- Brings in the data from AWS redshift
- Trains a custom model
- Predicts value for next few terms
- Writes the predicted data to redshift tables
Benefits
- Logistics Planning for future enrolment
- Realistic Revenue Projections
- Better Course Design and Management
