Logistic Regression Course
This course provides comprehensive training in logistic regression, from initial data preprocessing and feature engineering to model tuning, rigorous evaluation with metrics like ROC and AUC, coefficient interpretation for business decisions, A/B testing, model monitoring for drift, and deploying reliable scoring pipelines that deliver actionable, statistically robust recommendations.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in logistic regression through a practical course covering data preparation, feature engineering, model building with regularization, evaluation using ROC, AUC, and calibration, interpreting coefficients for business insights, A/B testing design, drift monitoring, and creating transparent scoring pipelines for production use.
Elevify advantages
Develop skills
- Build strong logistic models from exploratory data analysis to tuned, regularized versions.
- Create effective features through encoding, scaling, and handling class imbalance to improve model performance.
- Interpret model coefficients and odds ratios to derive quick business insights.
- Conduct thorough classifier evaluations using ROC, 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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