Data Science and Machine Learning Course
This course equips you with essential data science and machine learning skills for churn prediction using real-world data. You will learn advanced feature engineering, model training and tuning, time-aware validation techniques, model explainability tools like SHAP, and strategies to translate predictions into actionable business decisions that maximise ROI for tech teams. Ideal for professionals aiming to drive data-driven outcomes efficiently.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in exploring datasets, cleaning data, engineering features, and creating train/test splits with cross-validation. Master building tree-based and linear models, addressing class imbalance, and using appropriate metrics for evaluation. Develop skills to interpret models, communicate results effectively, and produce reproducible analyses that deliver business value.
Elevify advantages
Develop skills
- Advanced feature engineering to create impactful churn predictors swiftly.
- Robust model training using Python libraries for tree and linear models.
- Time-aware validation with temporal splits and cross-validation.
- Model explainability leveraging SHAP and feature importance insights.
- Business analytics to convert model results into ROI-driven actions.
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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Giulio CarloDigital Marketing Student
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