Artificial Intelligence
Classroom
Machine Learning
Train, compare and evaluate machine learning models using Python and real tabular datasets.
Level
Intermediate
Duration
12 Weeks
Learning format
Classroom
ABOUT THE COURSE
About Machine Learning
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.
UNDERSTAND THE FIELD
What is Machine Learning?
TOOLS & TECHNOLOGIES
Tools you will work with
- Python
- pandas
- scikit-learn
- Jupyter
WHAT YOU WILL LEARN
Learning outcomes
- Prepare data without leaking information into evaluation sets.
- Train regression, classification and clustering models.
- Compare models using appropriate metrics and cross-validation.
WHO SHOULD JOIN
Is this course right for you?
Prerequisites / eligibility
Comfort with Python, pandas, basic probability and descriptive statistics.
TAKE THE NEXT STEP
Ready to explore Machine Learning?
Speak with our counsellors and find the right learning path for you.