Feature Engineering Course
Master feature engineering for pump sensor data to enhance predictive maintenance models, focusing on time-series, categorical, and validation techniques for reliable 7-day failure predictions.
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 strong predictive features. You will learn data validation, timestamp alignment, handling missing values, detecting outliers, and creating pipelines that prevent leakage. Build time-based, aggregated, and categorical features, apply encoding, selection, and dimensionality reduction, and perform practical diagnostics to boost 7-day failure prediction performance quickly and reliably.
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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio CarloPrompt Engineering Student
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