Logistic Regression Course
This course teaches logistic regression comprehensively, from preparing data and engineering features to tuning models, calibrating outputs, and conducting A/B tests. Learners will gain skills to convert probability predictions into actionable business decisions and reliable statistical recommendations, ensuring models are production-ready and interpretable for real-world applications.
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 cleaning to deploying dependable models. Cover preprocessing, feature creation, model building with regularization, evaluation using ROC, AUC, and calibration methods. Learn to interpret coefficients for business value, set up A/B experiments, detect model drift, and develop clear, documented scoring systems.
Elevify advantages
Develop skills
- Build strong logistic models from data exploration to tuned and 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.
- Evaluate models thoroughly using ROC, PR curves, calibration, cross-validation, and confidence intervals.
- Deploy models with scoring pipelines, monitor for drift, and plan 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 workloadWhat our students say
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