C400
Machine Learning & Competition Sprint
An IAIO-oriented applied track covering classical algorithms, experiment design, model comparison, and lab environments that resemble competition-style problem solving.
Students learn how to train, compare, improve, and explain models.
C400 turns Python, data, and math into working machine learning systems. The emphasis is not only accuracy, but sound experimental design and clear reasoning.
Upcoming C400 cohorts
Students can enter through supervised learning, advanced algorithms, or broader unsupervised and reinforcement learning topics.
C401
Supervised Learning
Regression, classification, validation, metrics, and prediction pipelines.
- Hours
- 24 hours
- Schedule
- Sunday 2:00-4:00 PM ET
- Price
- CAD $1,080
C402
Advanced Learning Algorithms
Model complexity, ensembles, generalization, tuning, and performance improvement.
- Hours
- 24 hours
- Schedule
- Wednesday 7:00-9:00 PM ET
- Price
- CAD $1,120
C403
Unsupervised Learning & RL
Clustering, recommenders, representation learning, and reinforcement learning basics.
- Hours
- 20 hours
- Schedule
- Saturday 10:00 AM-12:00 PM ET
- Price
- CAD $960
Competition Preparation
Practice the habits competitions reward.
Students learn to read tasks carefully, form hypotheses, choose appropriate models, justify evaluation metrics, and explain limitations under time pressure.
Model SelectionMatch algorithm choices to data structure and problem type.
Experiment LogsTrack baselines, changes, metrics, and observations clearly.
Written ExplanationCommunicate not just what worked, but why it worked.