Logistic Regression Course
This course equips you with skills to master logistic regression, covering data preparation, feature engineering, model tuning, evaluation metrics like ROC and AUC, interpretation of results, A/B testing, and deployment strategies for reliable business predictions and decisions in a production environment.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain expertise in logistic regression through a practical course starting from data cleaning to deploying production-ready models. Cover preprocessing, feature engineering, model building with regularisation, evaluation using ROC, AUC, and calibration plots. Learn to interpret coefficients for business insights, set up A/B tests, detect model drift, and create transparent scoring pipelines.
Elevify advantages
Develop skills
- Build strong logistic models from data exploration to tuned, regularised versions.
- Create effective features through encoding, scaling, and handling imbalances to improve performance.
- Interpret model coefficients and odds ratios to deliver quick business insights.
- Rigorous evaluation of models using ROC, PR curves, calibration, and cross-validation.
- Deploy models with scoring pipelines, monitor for drift, and plan 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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