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Logistic Regression Course

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

What will I learn?

Gain expertise in logistic regression through this practical course, moving from data preparation to deployable models. Cover preprocessing, feature creation, model building, regularization techniques, and evaluation using ROC, AUC, and calibration metrics. Interpret results for business value, set up A/B tests, track model drift, and develop clear scoring systems.

Elevify advantages

Develop skills

  • Build strong logistic models: starting with data exploration up to tuned and regularized versions.
  • Create effective features: through encoding, scaling, and handling imbalances to improve AUC scores.
  • Interpret model coefficients and odds: quickly transforming outputs into valuable business insights.
  • Rigorous evaluation of classifiers: using ROC, PR curves, calibration, cross-validation, and confidence intervals.
  • Deploy and oversee models: with scoring pipelines, drift detection, and strategies for retraining.

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

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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