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Machine Learning & Artificial Intelligence Course

Machine Learning & Artificial Intelligence Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Gain practical skills in machine learning and AI, covering data loading, cleaning, validation, exploratory analysis, feature engineering, binary classification using logistic regression, decision trees, and random forests. Learn model explainability, reporting, basic deployment, monitoring, and ethical considerations to build impactful predictive models.

Elevify advantages

Develop skills

  • Prepare quality ML datasets by loading, validating, and preprocessing real-world data efficiently.
  • Create strong predictive features through encoding, scaling, and selection for better model performance.
  • Develop and optimise classifiers like logistic regression, trees, and forests with proper validation techniques.
  • Interpret models using SHAP values, feature importance, and visuals for stakeholder communication.
  • Deploy prototypes, monitor performance drift, and improve via A/B testing.

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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