Machine Learning
From basics to pro
Dr. Adaeze Okonkwo
AI Researcher & Lead Instructor
Last updated 30 Aug 2026
What you will learn
- Implement linear and logistic regression from scratch
- Choose the right evaluation metric for a problem
- Diagnose overfitting and underfitting
- Ship an end-to-end model on a real dataset
Course content
5 sections · 17 lessons · 2h 56m
- What machine learning solvesPreview8m 18s
- Setting up Python and notebooks10m 22s
- Your first dataset9m 05s
Requirements
- Basic Python
- Secondary-school algebra
About this course
A rigorous but approachable path through machine learning. You will build models by hand before reaching for a library, so that when something goes wrong you know where to look. Covers supervised and unsupervised learning, evaluation, overfitting, and a full end-to-end project.
Your instructor
Dr. Adaeze Okonkwo
AI Researcher & Lead Instructor
3 courses on Skaibot Hub
Machine learning researcher with 12 years teaching AI fundamentals to first-time learners. Former lecturer at the University of Lagos.
Learner reviews
4.7
1.2K ratings
Breakdown of 4 written reviews
- 5 ★4
- 4 ★0
- 3 ★0
- 2 ★0
- 1 ★0
- EN
Emeka Nwosu
I have tried three other courses on this topic and abandoned all of them. I finished this one.
- AC
Amara Chukwu
The instructor explains difficult ideas without dumbing them down. Highly recommended.
- NU
Ngozi Uche
Exactly the course I needed. Clear, well paced, and nothing is hand-waved.
- ZY
Zainab Yusuf
Exactly the course I needed. Clear, well paced, and nothing is hand-waved.