Logistic Regression Course
This course provides comprehensive training on logistic regression, starting from data preparation and feature engineering to model tuning, evaluation with metrics like ROC and AUC, coefficient interpretation, A/B testing, drift monitoring, and deploying reliable scoring pipelines for informed business decisions and robust predictions.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in logistic regression through this practical course, covering data preprocessing, feature engineering, model building, regularization techniques, and evaluation using ROC, AUC, and calibration metrics. Learn to interpret coefficients for business insights, conduct A/B tests, monitor model drift, and create transparent scoring pipelines for production use.
Elevify advantages
Develop skills
- Develop strong logistic models from exploratory data analysis to tuned and regularized versions.
- Create effective features through encoding, scaling, and handling class imbalance to improve model performance.
- Interpret model coefficients and odds ratios to derive actionable business insights quickly.
- Perform thorough model evaluation using ROC curves, 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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