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ML Course

ML Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain a rapid practical journey from raw customer data to dependable ML models. Master dataset profiling, exploratory data analysis, data cleaning, feature engineering, and managing missing values or class imbalance. Develop and assess baseline models, grasp essential metrics, boost performance, and strategise for deployment, monitoring, and explainability to ensure predictions remain precise and useful long-term.

Elevify advantages

Develop skills

  • Design efficient ML pipelines tailored for customer predictions swiftly.
  • Excel in data preparation by cleaning, encoding, scaling, and balancing datasets.
  • Rapidly construct and validate baseline linear and logistic regression models.
  • Select optimal metrics, adjust thresholds, and interpret model diagnostics effectively.
  • Prepare models for deployment with explainability, drift monitoring, and basic A/B testing.

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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