Feature Engineering Course
This course equips you with essential feature engineering techniques for predictive maintenance using pump sensor data, focusing on creating robust, leakage-free features to improve failure prediction models.
4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This Feature Engineering Course teaches you how to transform raw pump sensor data into effective predictive features. You will cover data validation, timestamp alignment, handling missing values, detecting outliers, and creating pipelines that prevent leakage. Develop time-based, aggregated, and categorical features, implement encoding, selection, and dimensionality reduction, and perform practical diagnostics to enhance 7-day failure prediction performance swiftly and dependably.
Elevify Advantages
Develop Skills
- Time-series features: construct rolling, trend, and seasonal indicators for failures.
- Categorical encodings: implement one-hot, target, and frequency methods appropriately.
- Sensor data prep: clean, align, and resample noisy pump telemetry efficiently.
- Leakage-safe pipelines: develop time-aware CV, imputation, and feature logic.
- Feature validation: apply SHAP, MI, and drift checks to maintain model reliability.
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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