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Feature Engineering Course

Feature Engineering Course
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 boost 7-day failure prediction accuracy swiftly and dependably.

Elevify advantages

Develop skills

  • Time-series features: create rolling, trend, and seasonal indicators for detecting failures.
  • Categorical encodings: implement one-hot, target, and frequency methods appropriately.
  • Sensor data preparation: clean, align, and resample noisy pump telemetry efficiently.
  • Leakage-safe pipelines: construct 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.
Workload: between 4 and 360 hours

What our students say

Your lessons 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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
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 Carlo
Giulio CarloPrompt Engineering Student

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