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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 this practical course, moving from data cleaning to deployable models. Cover preprocessing, feature creation, model building, regularization, and evaluation using ROC, AUC, and calibration. Interpret results for business value, set up A/B tests, track model drift, and create documented scoring systems.

Elevify advantages

Develop skills

  • Build strong logistic models: starting with exploratory data analysis up to regularized and optimized versions.
  • Create effective features: through encoding, scaling, and handling imbalances to improve AUC performance.
  • Interpret odds ratios and coefficients: quickly transforming model results into valuable business insights.
  • Evaluate models thoroughly: using ROC, PR curves, calibration, cross-validation, and confidence intervals.
  • Deploy and track models: developing scoring pipelines, monitoring for drift, and planning 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

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

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