Feature Engineering Course
This course equips you with essential feature engineering techniques for predictive maintenance using pump sensor data, focusing on time-series processing, encoding, and validation to enhance failure prediction models.
flexible workload of 4 to 360h
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 techniques, feature selection, and dimensionality reduction, and perform practical diagnostics to boost 7-day failure prediction performance swiftly and dependably.
Elevify advantages
Develop skills
- Time-series features: create rolling, trend, and seasonal signals for failures.
- Categorical encodings: implement one-hot, target, and frequency methods properly.
- Sensor data prep: clean, align, and resample noisy pump telemetry quickly.
- Leakage-safe pipelines: design 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 workloadWhat our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course