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Machine Learning & Artificial Intelligence Course

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

What will I learn?

Gain practical skills in machine learning and AI, covering data loading, cleaning, validation, exploratory data 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

  • Build clean ML datasets by loading, validating, and preprocessing real-world data efficiently.
  • Engineer effective features through encoding, scaling, and selection to enhance model performance.
  • Train and tune classifiers like logistic regression, trees, and forests with robust validation techniques.
  • Explain model predictions using SHAP values, feature importance, and stakeholder-friendly visuals.
  • Deploy models, monitor for drift, and iterate using A/B tests to ensure ongoing reliability.

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got 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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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