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introduction To Machine Learning for Data Science Course

introduction To Machine Learning for Data Science Course
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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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