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Logistic Regression Course

Logistic Regression Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Gain expertise in logistic regression through a practical course covering data preparation, feature engineering, model building with regularization, evaluation using ROC, AUC, and calibration, interpreting coefficients for business insights, A/B testing design, drift monitoring, and creating transparent scoring pipelines for production use.

Elevify advantages

Develop skills

  • Build strong logistic models from exploratory data analysis to tuned, regularized versions.
  • Create effective features through encoding, scaling, and handling class imbalance to improve model performance.
  • Interpret model coefficients and odds ratios to derive quick business insights.
  • Conduct thorough classifier evaluations using ROC, precision-recall, calibration, cross-validation, and confidence intervals.
  • Implement model deployment with scoring pipelines, drift detection, and retraining strategies.

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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