Logistic Regression Course
This course equips you with skills to master logistic regression fully, from initial data preparation and feature engineering to model tuning, calibration, evaluation, A/B testing, deployment, and monitoring. Transform raw data into actionable probabilities and business decisions with robust, production-ready models that stand up to real-world scrutiny.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in logistic regression through this practical course, progressing from data preparation to deploying reliable models. Cover preprocessing, feature engineering, model building, 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 analysis to tuned, regularized versions.
- Create effective features through encoding, scaling, and handling imbalances to improve performance.
- Interpret model coefficients and odds ratios to deliver quick business insights.
- Assess models thoroughly with ROC, PR curves, calibration, cross-validation, and confidence intervals.
- Deploy models effectively with scoring pipelines, drift detection, and retraining strategies.
Suggested summary
Before starting, you can change the chapters and 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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