Applied machine learning course
Gain expertise in applied machine learning focused on churn prediction. Develop skills to create reproducible pipelines, train and fine-tune models with scikit-learn, deploy using CI/CD, monitor for drift, ensure model fairness and governance, and deliver secure, interpretable ML systems ready for production environments.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches building reliable churn prediction models from raw data to production deployment. Learners master data cleaning, feature engineering, preprocessing, model training and tuning using scikit-learn, evaluation techniques, calibration, interpretability, bias mitigation, reproducible pipelines, and secure deployment with monitoring, logging, and CI/CD practices.
Elevify advantages
Develop skills
- Production ML deployment: Design secure, monitored real-time and batch systems efficiently.
- Reproducible ML pipelines: Build, version, test, and deploy scikit-learn workflows swiftly.
- Churn modelling expertise: Fine-tune, interpret, and calibrate models for business outcomes.
- Data preparation for ML: Clean, encode, scale, and engineer impactful customer features.
- Fair and compliant AI: Identify bias, implement mitigations, and document trade-offs clearly.
Suggested summary
Before starting, you can change the chapters and the 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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