Feature Engineering Course
This course equips you with essential feature engineering skills for predictive maintenance using pump sensor data, focusing on creating robust, leakage-free features to improve 7-day failure prediction models through practical techniques and diagnostics.
from 4 to 360h flexible workload
valid certificate 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, use encoding, selection, and dimensionality reduction techniques, and perform practical diagnostics to enhance 7-day failure prediction performance efficiently and dependably.
Elevify advantages
Develop skills
- Time-series features: build rolling, trend, and seasonal signals for failures.
- Categorical encodings: apply one-hot, target, and frequency schemes correctly.
- Sensor data prep: clean, align, and resample noisy pump telemetry fast.
- Leakage-safe pipelines: design time-aware CV, imputation, and feature logic.
- Feature validation: use SHAP, MI, and drift checks to keep models reliable.
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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