Feature Engineering Course
This course equips learners with essential feature engineering skills for predictive maintenance using pump sensor data, focusing on creating robust, leakage-free features to improve failure prediction accuracy.
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: construct rolling, trend, and seasonal indicators for failures.
- Categorical encodings: implement one-hot, target, and frequency methods appropriately.
- Sensor data preparation: clean, align, and resample noisy pump telemetry swiftly.
- Leakage-safe pipelines: create time-aware cross-validation, imputation, and feature processes.
- Feature validation: apply SHAP, mutual information, and drift assessments 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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