applied machine learning course
Gain practical expertise in applied machine learning focused on churn prediction. Develop end-to-end reproducible pipelines, train and fine-tune scikit-learn models, deploy with CI/CD for security and monitoring, handle model drift, ensure fairness, interpretability, and governance to deliver production-ready ML systems that drive business results.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you with skills to create reliable churn prediction models from raw data through to production deployment. You'll master data cleaning, feature engineering, preprocessing, model training and tuning using scikit-learn, plus evaluation, calibration, interpretability, bias mitigation, reproducible pipelines, and secure deployment with monitoring, logging, and CI/CD.
Elevify advantages
Develop skills
- Design secure, monitored production ML systems for real-time and batch processing.
- Build reproducible ML pipelines with versioning, testing, and rapid scikit-learn deployment.
- Master churn modelling by tuning, interpreting, and calibrating for business value.
- Prepare data effectively: clean, encode, scale, and engineer key customer features.
- Ensure fair AI by detecting bias, mitigating risks, and documenting decisions clearly.
Suggested summary
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