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ML Course

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

What will I learn?

This ML Course provides a swift, practical route from unprocessed customer data to dependable models. You will learn dataset profiling, EDA, data cleaning, feature engineering, and managing missing values or class imbalance. Construct and assess baseline models, comprehend essential metrics, enhance performance, and organise deployment, monitoring, and explainability to ensure your predictions remain precise and usable over time.

Elevify advantages

Develop skills

  • Practical ML workflow: design customer-focused prediction pipelines swiftly.
  • Data prep mastery: clean, encode, scale and balance real-world datasets.
  • Baseline modelling: build and validate linear and logistic regression promptly.
  • Model evaluation: select metrics, adjust 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 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 lessons are perfect. I purchased the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get 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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