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ML Engineering Course
Oya, come and learn the correct things about machine learning engineering with our well-packaged ML Engineering Course. E dey designed for tech professionals like you. This course go cover everything from how to gather data and clean am, to how to train your model, check whether e dey work well, and put am for work for real life. We go enter inside recommendation systems, check different machine learning algorithms, and learn how to join real-time predictions with e-commerce platforms. You go gain correct skills for how to make your work dey scalable, how to write am well (documentation), and how to give report. By the time you finish, you go dey ready to use am for real world applications.
- Deploy models: Master how to make your models dey scalable and dey give real-time predictions when dem dey work.
- Build recommendation systems: Explore the different types we get and how dem dey work for e-commerce.
- Implement ML algorithms: Learn how to use hybrid, content-based, and collaborative methods.
- Train and evaluate models: Learn about precision, recall, and F1-score metrics to know if your model dey work well.
- Preprocess data: Identify where data dey come from, how to encode am, normalize am, and handle data wey dey miss.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Oya, come and learn the correct things about machine learning engineering with our well-packaged ML Engineering Course. E dey designed for tech professionals like you. This course go cover everything from how to gather data and clean am, to how to train your model, check whether e dey work well, and put am for work for real life. We go enter inside recommendation systems, check different machine learning algorithms, and learn how to join real-time predictions with e-commerce platforms. You go gain correct skills for how to make your work dey scalable, how to write am well (documentation), and how to give report. By the time you finish, you go dey ready to use am for real world applications.
Elevify advantages
Develop skills
- Deploy models: Master how to make your models dey scalable and dey give real-time predictions when dem dey work.
- Build recommendation systems: Explore the different types we get and how dem dey work for e-commerce.
- Implement ML algorithms: Learn how to use hybrid, content-based, and collaborative methods.
- Train and evaluate models: Learn about precision, recall, and F1-score metrics to know if your model dey work well.
- Preprocess data: Identify where data dey come from, how to encode am, normalize am, and handle data wey dey miss.
Suggested summary
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