Feature Engineering Course
This course equips you with essential feature engineering techniques for pump sensor data to enhance predictive modeling for equipment failure, focusing on data preparation, feature creation, and validation to improve model performance and reliability.
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 cover data validation, aligning timestamps, dealing with missing values, spotting outliers, and creating pipelines that prevent leakage. You will construct time-based, aggregated, and categorical features, use encoding techniques, select features, reduce dimensions, and perform practical checks to boost 7-day failure prediction performance swiftly and dependably.
Elevify advantages
Develop skills
- Time-series features: create rolling, trend, and seasonal indicators for failures.
- Categorical encodings: implement one-hot, target, and frequency methods properly.
- Sensor data prep: clean, align, and resample noisy pump telemetry efficiently.
- Leakage-safe pipelines: develop time-aware CV, imputation, and feature processes.
- Feature validation: apply SHAP, MI, and drift tests to maintain model reliability.
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 workload.What our students say
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