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Machine Learning Development Course

Machine Learning Development Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course teaches sourcing, cleaning, and preparing customer data, then training, tuning, and evaluating binary classifiers with Python and scikit-learn. Cover strong validation methods, key business metrics, threshold choices, model explanations, API packaging, reproducibility, privacy standards, and post-deployment monitoring for effective real-world results.

Elevify advantages

Develop skills

  • Build strong ML pipelines: clean data, create features, manage imbalances quickly.
  • Train and adjust models: compare methods, fine-tune settings, select best ones.
  • Create ready-to-use ML APIs: save models, check inputs, secure access.
  • Assess models using business metrics: ROC-AUC, PR-AUC, F1, cost balances.
  • Track live models: spot changes, record tests, schedule updates.

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.
Workload: between 4 and 360 hours

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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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