Machine Learning Development Course
This course provides hands-on experience in developing production-ready machine learning models using Python and scikit-learn, covering the full pipeline from data preparation to deployment and monitoring.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Machine Learning Development Course teaches you how to get, clean, and prepare customer data, then train, adjust, and compare binary classifiers using Python and scikit-learn. You will learn strong validation methods, business-oriented metrics, threshold choices, and model explanations, then wrap models into APIs, ensure they can be repeated, follow privacy rules, and watch performance after putting them into use for solid, practical results.
Elevify advantages
Develop skills
- Build strong ML pipelines: clean data, create features, and manage imbalance quickly.
- Train and adjust models: compare methods, fine-tune settings, select best ones.
- Design ML APIs ready for production: save models, check inputs, secure connections.
- Evaluate models using business-focused metrics: ROC-AUC, PR-AUC, F1, and cost balances.
- Monitor models in use: spot changes, record tests, and schedule retraining.
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
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
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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