Logistic Regression Course
This course provides comprehensive mastery of logistic regression, guiding learners from data preparation through to deployment. Participants will acquire skills in feature engineering, model tuning, calibration techniques, and A/B testing, enabling the transformation of probability outputs into actionable business decisions and robust statistical recommendations.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain expertise in logistic regression through a practical course progressing from data cleaning to deployable models. Cover preprocessing, feature engineering, model building, regularisation, and evaluation metrics like ROC, AUC, and calibration. Learn to interpret coefficients for business insights, implement A/B tests, detect model drift, and create transparent scoring pipelines.
Elevify advantages
Develop skills
- Build robust logistic models from exploratory data analysis to regularised, tuned specifications.
- Engineer effective features through encoding, scaling, and handling class imbalance to improve AUC.
- Interpret odds ratios and coefficients to derive rapid business insights from model outputs.
- Evaluate classifiers comprehensively using ROC, PR curves, calibration, cross-validation, and confidence intervals.
- Deploy and monitor models 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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