Introduction To Machine Learning Course
Learn the complete machine learning process for predicting customer churn and returns, from data preparation and feature creation to training models, evaluating performance, ensuring fairness, and deploying solutions that deliver clear business value in your technical position.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This practical introduction guides you through setting up churn and return prediction tasks, cleaning real data, and creating solid models. Gain skills in feature engineering, data encoding, managing imbalances, cross-validation, tree methods, model calibration, fairness assessments, and ready-to-deploy reports for real business results.
Elevify advantages
Develop skills
- Business-focused ML setup: transform churn and return objectives into precise ML problems.
- Quick data preparation: clean, encode, and balance actual customer data for modelling.
- Hands-on model building: adjust, validate, and assess tree and linear models effectively.
- Real-world assessment: select metrics, define thresholds, and verify fairness across groups.
- Production-ready ML: develop pipelines, track changes, and present findings transparently.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
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