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ML Engineering Course

ML Engineering Course
flexible workload from 4 to 360h
certificate recognized by MEC

What will I learn?

Get proper knowledge on di important parts of machine learning engineering with our complete ML Engineering Course. E be designed for technology people, dis course go cover everything from how to gather data and prepare am, to how to train model, check am well, and put am to work for real. Enter inside recommendation systems, learn about machine learning algorithms, and sabi how to join real-time predictions with e-commerce platforms. Get correct skills on how to make things big, how to write things down well, and how to report things, so dat you go dey ready for real work.

Elevify advantages

Develop skills

  • Deploy models: Sabi how to make things big and do real-time predictions for real work.
  • Build recommendation systems: Learn di different types and how e dey work for e-commerce.
  • Implement ML algorithms: Use hybrid, content-based, and collaborative ways.
  • Train and evaluate models: Learn about precision, recall, and F1-score metrics.
  • Preprocess data: Find di sources, encode am, normalize am, and handle data wey dey miss.

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

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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