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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 enhance 7-day failure prediction performance efficiently and dependably.

Elevify advantages

Develop skills

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

As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio Carlo
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana Ferres
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana Alvarenga
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio Carlo
Giulio CarloAluno de Engenharia de Prompt

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