C04 Completed 2021
Cohort 4
Cohort 4 expanded into four tracks - Data Science, Machine Learning, Computer Vision, and Natural Language Processing - and formalised the cohort_structure curriculum on GitHub.
Cohort 4 expanded the curriculum into four parallel tracks. The cohort_structure curriculum was also formalised on GitHub during this period, becoming the template for subsequent cohorts.
Data Science track
- Development and deployment of an Employee Promotion Predictor model by Taiwo Owoseni
- Assessing issues around poverty in Nigeria by Popoola Isiaka Olamilekan, Kosisochukwu Akaeze, Henry Adeyemi, Temitayo Olanrewaju, Oluwaseun Adepegba, Saheed Adetomiwa, Abiodun Quadri, Ehinloju Nike
- Inquiry on the living standard of Nigerians by Sharon Ibejih
- Solving poverty through digital economy by Olukayode Akanni
Machine Learning track
- Exploring MNIST dataset using TensorFlow by Chigere Emmanuel Ugochukwu
Computer Vision track
Major project:
- Sentiment Analysis on Human Faces by Adewole Babatunde
Mini-projects - llcolorizer (a program that colorises grayscale images using low-level computer vision) and cartoonize (cartoon effect on images):
- llcolorizer & cartoonize by timi-ty
- cartoonize by aloko001
- llcolorizer by Merkll
- cartoonize by SSInimgba
- cartoonize by Free-tek
Natural Language Processing track
- Text classification of clinical notes by Mbataku Clinton
- Anjie - a library for generating corpus in various African languages by Adewole Babatunde