introduction To Machine Learning Course
This course provides a practical introduction to machine learning, focusing on churn and return prediction using real-life data, covering data preparation, model building, evaluation, and deployment.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short, practical Introduction to Machine Learning Course guides you through setting up churn and return prediction problems, looking into and cleaning real-life data, and creating solid models. You will learn feature engineering, encoding, dealing with imbalance, cross-validation, tree-based methods, calibration, fairness checks, and deployment-ready reporting so you can deliver models that bring real business results.
Elevify advantages
Develop skills
- Business-first ML framing: turn churn and return goals into clear ML tasks.
- Fast data prep: clean, encode, and balance real customer datasets for ML.
- Practical model training: tune, validate, and compare tree and linear models.
- Applied evaluation: pick metrics, set thresholds, and check fairness by segment.
- Deployment-ready ML: build pipelines, monitor drift, and report results clearly.
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
Your classes are perfect. I purchased 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 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 FerresPhotography Student
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The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio CarloPrompt Engineering Student
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