Machine Learning Masterclass (Supervised)
Learn supervised machine learning with Python & Scikit-Learn.
🔴 Next Live Cohort Starts 1st Oct 2025 — Enrollment in Progress
87 %What You'll Learn
ML Fundamentals
Explore ML concepts, history, and industry applications.
The ML Workflow
Data prep, training, validation, testing, and cross-validation.
Supervised ML Algorithms
Linear and logistic regression, decision trees, SVM and more.
Model Evaluation
Accuracy, precision, recall, F1-score, confusion matrices.
Course Duration
Learning Journey
Learning Experience
Grow with expert guidance, collaborative learning, and valuable industry connections.
Achievement
Showcase your success with industry-relevant proof of learning for career growth.
Tuition & Savings
Course Overview
The 8-week Machine Learning Masterclass focuses on Supervised Learning using Python and Scikit-Learn. Learn to apply the ML workflow: from data preparation and feature engineering to training, evaluating, and optimizing models. Gain hands-on experience building regression and classification models on real data.
🔴 Next Live Cohort Start Date: October 1, 2025
Enrollment Closes: September 30, 2025
Enrollment Options
- ✓ Online – Live Classes + Recorded Lessons (Weekday or Weekends)
- ✓ Recorded Lessons Only (Self-Paced)
- ✓ On-Campus / In-Person – Ghana Only
- ✓ Corporate / Workplace Training — At Company Site or Virtual for Teams

Start Your Admission Journey
Ready to Begin Your Journey?
Enroll directly and secure your seat for the next cohort
Talk to an Advisor
Get personalized guidance from our Success Advisors
Join a Live Webinar
Join our live info session to learn more before applying
Request a Brochure
Request the full program curriculum and structure
Hands-On Project
During this masterclass, you’ll apply supervised machine learning skills with real-world projects that prepare you for real jobs:
- ✓ Build a House Price Prediction Model (Regression)
- ✓ Develop a Customer Churn Prediction Model (Classification)
- ✓ Create a Credit Scoring System with decision trees/random forests
- ✓ Train and optimize a Marketing Campaign Response Model
- ✓ Implement a Pipeline for Data Preprocessing & Model Training
- ✓ Evaluate models with metrics dashboards
Career Relevance
The Machine Learning skills you gain will prepare you for entry-level to intermediate roles in AI and data science:
- ✓ Machine Learning Engineer (Junior Level)
- ✓ Data Scientist (Beginner Level)
- ✓ Data Analyst with ML Focus
- ✓ Business Intelligence Specialist
- ✓ AI Research Assistant
- ✓ Applied ML Developer
Skills you'll gain
