Logistic Regression Course
This course provides comprehensive training in logistic regression, from initial data preparation and feature engineering to model tuning, rigorous evaluation with metrics like ROC and AUC, coefficient interpretation for business decisions, A/B testing design, drift monitoring, 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 this practical course, covering data cleaning, feature engineering, model building with regularization, 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 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 AUC.
- Interpret model coefficients and odds ratios to derive quick business insights.
- Perform thorough classifier evaluation using ROC, PR curves, calibration, cross-validation, and confidence intervals.
- Deploy models with scoring pipelines, implement drift detection, and plan for retraining.
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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