Logistic Regression Course
This course teaches logistic regression comprehensively from data preparation through deployment. Participants master feature engineering model tuning evaluation metrics like ROC and AUC calibration techniques A/B testing and building production-ready scoring pipelines to deliver actionable business insights and reliable predictions.

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.What our students say
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