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Logistic Regression Course

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

What will I learn?

Gain expertise in logistic regression through practical steps from data cleaning to deployable models. Cover preprocessing feature engineering model building regularization evaluation with ROC AUC and calibration interpret coefficients for business value design A/B tests monitor model drift and create documented scoring pipelines.

Elevify advantages

Develop skills

  • Build robust logistic models from EDA to regularized tuning.
  • Engineer effective features with encoding scaling and imbalance handling.
  • Interpret coefficients and odds ratios for business insights.
  • Evaluate models using ROC PR calibration and cross-validation.
  • Deploy monitor and retrain models with pipelines and drift detection.

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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The course was essential to meet the expectations of my boss and the company I work for.
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Great course. Lots of valuable information.
WiltonCivil Firefighter

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