Logistic Regression Course
This course delivers comprehensive training in logistic regression, spanning data preparation, feature engineering, model optimisation, calibration methods, and A/B testing. Transform probability outputs into actionable business decisions and reliable statistical recommendations, ensuring models are production-ready and interpretable.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in logistic regression through this practical course, progressing from data preparation to deployable models. Cover preprocessing, feature creation, model building, regularization techniques, and thorough assessments using ROC, AUC, and calibration metrics. Interpret results for business value, implement A/B testing, track model drift, and develop clear scoring systems.
Elevify advantages
Develop skills
- Develop strong logistic models from exploratory analysis to optimised, regularised versions.
- Create effective features through encoding, scaling, and handling class imbalances to improve performance.
- Translate model coefficients and odds ratios into practical business insights swiftly.
- Assess models thoroughly with ROC curves, precision-recall, calibration, cross-validation, and confidence intervals.
- Implement model deployment with scoring pipelines, drift detection, and retraining strategies.
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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