Feature Engineering Course
Gain expertise in feature engineering for engineering datasets. Develop time-based, categorical, and multivariate sensor features, prevent data leakage, manage drift, and create dependable 7-day pump failure prediction models suitable for real-world operations. The course provides hands-on techniques to enhance model performance and reliability effectively.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches transforming raw pump sensor data into effective predictive features. Learners master data validation, timestamp alignment, handling missing values, outlier detection, and leakage-proof pipelines. It covers creating time-based, aggregated, and categorical features, along with encoding techniques, feature selection, dimensionality reduction, and diagnostic tools to boost 7-day failure prediction accuracy reliably.
Elevify advantages
Develop skills
- Time-series features: create rolling, trend, and seasonal signals to predict failures.
- Categorical encodings: implement one-hot, target, and frequency encoding methods accurately.
- Sensor data preparation: clean, align, and resample noisy pump telemetry efficiently.
- Leakage-safe pipelines: build time-aware cross-validation, imputation, and feature strategies.
- Feature validation: apply SHAP, mutual information, and drift detection for 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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