Learn machine learning as a practical workflow: clean data, choose a model, evaluate it honestly and present results. The course uses Python and focuses on problems that matter to organisations, not hype.
- Data cleaning, features and train/test splits
- Regression and classification with scikit-learn
- Model evaluation, overfitting and baselines
- Intro to neural networks and when they are worth it
- A capstone using a realistic organisational dataset
Training is delivered by XLAB INNOVATIONS in Lilongwe, with practical exercises based on the systems and platforms we build for Malawian businesses and institutions.
Data and problem framing
Ask the right question before you train a model.
3 LessonsClassical models
Start with models you can explain to a manager.
3 LessonsGoing further
Neural nets and a complete mini-project.
3 Lessons
Founder & Lead Instructor
Future Bakali
Future Bakali is the founder of XLAB INNOVATIONS, a Malawi-based technology company delivering web development, business systems, hosting, databases, digital marketing and cybersecurity.
He designs and delivers practical training for businesses, institutions and professionals who need skills they can apply immediately in real projects across Malawi and the region.
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- Price
MK89,000
MK129,000 - Instructor Future Bakali
- Duration 10 weeks
- Category Data Science
- Curriculum 3
- Lectures 9