introduction To Machine Learning for Data Science Course
Learn machine learning essentials for data science by developing churn prediction models from subscription app data. Master feature engineering, model tuning, performance evaluation, interpretation using SHAP values, and deployment strategies to boost retention and revenue in tech products.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This practical course guides you through framing churn prediction issues, cleaning real subscription app data, and creating robust models. Gain skills in feature engineering, model selection, evaluation, interpretation, and deployment to convert data into retention and revenue gains quickly.
Elevify advantages
Develop skills
- Frame ML churn problems into actionable goals from KPIs.
- Conduct rapid EDA to clean and validate app datasets.
- Build and optimise churn models like logistic regression and ensembles.
- Engineer features by balancing classes and scaling variables.
- Interpret models with SHAP and deploy for business impact.
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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