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ML Engineering Course
Get proper skills for machine learning engineering with our full ML Engineering Training. Na been design for technology people, this training go cover everything from collecting data and cleaning it, to training model, checking if e dey work well, and putting am for work. Enter inside how recommendation system dey work, learn about machine learning ways, and sabi how to join real-time predictions with shop-shop for internet. Get hand-work skills for making things big, writing down how things dey go, and giving report, so you fit do am well for real work.
- Put models for work: Sabi how to make am big and make real-time predictions for work.
- Build recommendation systems: Learn the different types and how dem dey use am for shop-shop for internet.
- Use ML algorithms: Use different different ways like hybrid, content-based, and collaborative methods.
- Train and check models: Learn about precision, recall, and F1-score wey dem dey use check work.
- Clean data: Know where data dey come from, how to encode am, make am normal, and handle data wey dey miss.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Get proper skills for machine learning engineering with our full ML Engineering Training. Na been design for technology people, this training go cover everything from collecting data and cleaning it, to training model, checking if e dey work well, and putting am for work. Enter inside how recommendation system dey work, learn about machine learning ways, and sabi how to join real-time predictions with shop-shop for internet. Get hand-work skills for making things big, writing down how things dey go, and giving report, so you fit do am well for real work.
Elevify advantages
Develop skills
- Put models for work: Sabi how to make am big and make real-time predictions for work.
- Build recommendation systems: Learn the different types and how dem dey use am for shop-shop for internet.
- Use ML algorithms: Use different different ways like hybrid, content-based, and collaborative methods.
- Train and check models: Learn about precision, recall, and F1-score wey dem dey use check work.
- Clean data: Know where data dey come from, how to encode am, make am normal, and handle data wey dey miss.
Suggested summary
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