Advanced Machine Learning Course
Dive into practical machine learning: structure predictive challenges, extract potent features from event streams, fine-tune and launch models, manage data drift and imbalance, and build sturdy production pipelines for impactful tech solutions. Gain expertise in real-world applications from problem framing to ongoing model maintenance, ensuring high performance in dynamic environments.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you to structure 7-day conversion forecasts, craft strong features from event data, and tackle class imbalance using solid sampling methods. Compare model types, refine hyperparameters, set optimal thresholds, and create dependable training processes. Conclude with deployment, monitoring, and retraining techniques to ensure models stay precise and ready for production use.
Elevify advantages
Develop skills
- Production ML pipelines: design, deploy, and monitor robust models fast.
- Event-based feature engineering: turn raw user logs into powerful signals.
- Advanced model tuning: optimise tree and deep models with smart search.
- Temporal validation mastery: frame, split, and evaluate time-aware data.
- ML observability & drift: track performance, detect shifts, and retrain.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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