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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?

Master logistic regression in a focused, practical course that takes you from clean data to reliable, production-ready models. You will learn data preprocessing, feature engineering, model specification, regularization, and robust evaluation with ROC, AUC, and calibration. Then, translate coefficients into clear business insights, design A/B tests, monitor drift, and build a transparent, well-documented scoring pipeline.

Elevify advantages

Develop skills

  • Build robust logistic models: from EDA to regularized, tuned specifications.
  • Engineer powerful features: encoding, scaling, and imbalance fixes that boost AUC.
  • Interpret odds ratios and coefficients: turn model outputs into business insights fast.
  • Evaluate classifiers rigorously: ROC, PR, calibration, cross-validation, and CI.
  • Deploy and monitor models: scoring pipelines, drift checks, and 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 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 rich information.
WiltonCivil Firefighter

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