Logistic Regression Course
This course provides comprehensive training in logistic regression, from initial data preparation and feature engineering to model tuning, rigorous evaluation with metrics like ROC and AUC, coefficient interpretation for business decisions, A/B testing design, model monitoring for drift, and deployment of reliable scoring pipelines ready for production use.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain expertise in logistic regression through a practical course covering data preprocessing, feature engineering, model building with regularization, evaluation using ROC, AUC, and calibration, interpreting coefficients for business insights, A/B testing, drift monitoring, and creating transparent scoring pipelines.
Elevify advantages
Develop skills
- Build strong logistic models from exploratory data analysis to tuned, regularised versions.
- Create effective features through encoding, scaling, and handling class imbalance to improve model performance.
- Interpret model coefficients and odds ratios to deliver quick business insights.
- Conduct thorough classifier evaluations using ROC, precision-recall, calibration, cross-validation, and confidence intervals.
- Deploy models with scoring pipelines, implement drift detection, and plan 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.What our students say
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