Logistic Regression Course
This course equips you with logistic regression skills from initial data handling to full deployment. Explore feature engineering, tuning models, ensuring calibration, and conducting A/B tests to convert predictions into actionable business strategies and reliable recommendations, all in a hands-on format suited for real-world use.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in logistic regression through this practical course, moving from data preparation to deployable models. Cover preprocessing, feature creation, model building, regularization techniques, and evaluation using ROC, AUC, and calibration metrics. Interpret results for business value, set up A/B tests, track model drift, and develop clear scoring systems.
Elevify advantages
Develop skills
- Build strong logistic models: starting with data exploration up to tuned and regularized versions.
- Create effective features: through encoding, scaling, and handling imbalances to improve AUC scores.
- Interpret model coefficients and odds: quickly transforming outputs into valuable business insights.
- Rigorous evaluation of classifiers: using ROC, PR curves, calibration, cross-validation, and confidence intervals.
- Deploy and oversee models: with scoring pipelines, drift detection, and strategies for 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 workloadWhat our students say
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