Predictive Modeling Course
This course teaches a complete workflow for building accurate predictive models for customer spend using time-series data, covering data prep, feature engineering, model selection, validation, evaluation, and deployment-ready outputs.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Predictive Modelling Course provides a practical, complete workflow for accurate spend prediction using customer-month data. You will set clear prediction targets, avoid data leakage, conduct detailed exploratory analysis, create strong time-based and behaviour features, and choose, train, and validate linear and tree-based models with time-sensitive splits, business-oriented metrics, and clear, ready-to-deploy outputs for marketing choices.
Elevify advantages
Develop skills
- Data preparation for spend prediction: clean, encode, and create high-value features.
- Strong model training: select, adjust, and combine linear and tree-based models.
- Time-sensitive validation: plan splits that prevent leakage, cross-validation, and stability tests.
- Error and ROI assessment: connect MAE, lift, and calibration straight to revenue.
- Model explanation: describe SHAP, limitations, and next actions to non-technical people.
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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