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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 hands-on course from data prep to production models. Cover preprocessing, feature engineering, model building, regularization, evaluation using ROC, AUC, calibration, interpreting coefficients for business insights, A/B testing, drift monitoring, and creating documented scoring pipelines.

Elevify advantages

Develop skills

  • Build strong logistic models: from EDA to regularized, tuned specifications.
  • Engineer powerful features: encoding, scaling, an fixes fi imbalance dat boost AUC.
  • Interpret odds ratios an coefficients: turn model outputs into business insights quick-quick.
  • Evaluate classifiers proper: ROC, PR, calibration, cross-validation, an CI.
  • Deploy an monitor models: scoring pipelines, drift checks, an retraining plans.

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 are saying

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EmersonPolice Investigator
The course was essential to meet my boss's and the company's expectations.
SilviaNurse
Really great course. Lots of valuable information.
WiltonCivil Firefighter

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