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ML Course

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

What will I learn?

This Machine Learning Course offers a quick, hands-on route from raw customer data to dependable models. You will learn dataset profiling, exploratory data analysis, data cleaning, feature engineering, and dealing with missing values or class imbalance. Build and assess baseline models, grasp key metrics, boost performance, and plan for deployment, monitoring, and explainability to keep your predictions accurate and useful over time.

Elevify advantages

Develop skills

  • Practical ML workflow: design customer-focused prediction pipelines quickly.
  • Data prep mastery: clean, encode, scale and balance real-world datasets.
  • Baseline modeling: build and validate linear and logistic regression swiftly.
  • Model evaluation: choose metrics, tune thresholds, and interpret diagnostics.
  • Deployment-ready ML: explain models, monitor drift, and conduct simple A/B tests.

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 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 extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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