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Logistic Regression Course

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

What will I learn?

Gain expertise in logistic regression through this practical course, progressing from data preparation to deploying reliable models. Cover preprocessing, feature engineering, model building, regularization, evaluation using ROC, AUC, and calibration, interpreting coefficients for business insights, A/B testing, drift monitoring, and creating transparent scoring pipelines.

Elevify advantages

Develop skills

  • Build strong logistic models from exploratory analysis to tuned, regularized versions.
  • Create effective features through encoding, scaling, and handling imbalances to improve performance.
  • Interpret model coefficients and odds ratios to deliver quick business insights.
  • Assess models thoroughly with ROC, PR curves, calibration, cross-validation, and confidence intervals.
  • Deploy models effectively with scoring pipelines, drift detection, and retraining strategies.

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.
Workload: between 4 and 360 hours

What our students say

Your classes 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... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are 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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