Artificial Intelligence
Classroom
Machine Learning
Train, compare and evaluate machine learning models using Python and real tabular datasets.
AT A GLANCE
Course highlights
LevelIntermediate
Duration12 Weeks
Learning formatClassroom
THE OVERVIEW
About this course
Work through supervised and unsupervised learning with a focus on reliable experimentation. Practice preprocessing, feature engineering, cross-validation and error analysis before building a reproducible prediction pipeline.
BUILD YOUR SKILLS
What you will learn
- Prepare data without leaking information into evaluation sets.
- Train regression, classification and clustering models.
- Compare models using appropriate metrics and cross-validation.
YOUR TOOLKIT
Tools & technologies
- Python
- pandas
- scikit-learn
- Jupyter
BEFORE YOU BEGIN
Who should join?
Comfort with Python, pandas, basic probability and descriptive statistics.
SKILLS YOU BUILD
What you will learn
- Prepare data without leaking information into evaluation sets.
- Train regression, classification and clustering models.
- Compare models using appropriate metrics and cross-validation.
TAKE THE NEXT STEP
Ready to explore Machine Learning?
Speak with our counsellors and find the right learning path for you.