Cohort 3 introduced a two-track structure that became standard for several cohorts that followed: a Machine Learning track focused on tabular and economic data, and a Deep Learning track focused on computer vision tasks.
Machine Learning track
Capstone projects covered prediction problems across domains:
- Music popularity prediction
- Using economic factors to predict the fertility rate of a country (United States case study)
- Predicting the market value of Premier League footballers
- Car price prediction based on age and mileage
- Black Friday price predictor
- Predicting outlet type using the Big Mart dataset
- Flight ticket price prediction
- Regression model for fertility detection based on economic factors
- AI16 salary predictor - Forbes recruits
Deep Learning track
The DL track focused on canonical computer vision tasks:
- Image segmentation
- Object detection
- Neural style transfer
- Face recognition / verification
A representative team writeup is available on the AI Saturdays Lagos Medium publication.