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Applied Machine Learning Course
Level up your Business Intelligence know-how with our Applied Machine Learning Training, tailor-made for professionals who want proper, top-quality learning. Learn how to clean and prepare data, find the best features, and choose the right model using things like decision trees and group methods. Get better at training models, checking how good they are, and making them even better, while learning how to find useful information and give good advice. This training go give you the power to turn data into business decisions wey go help your company grow, and you fit learn at your own speed.
- Learn how to prepare data properly: Make sure data is consistent, deal with missing information, and change variables into the right format.
- Make models work their best: Fine-tune the settings and compare different methods to see which one works best.
- Check how good models are: Use different measures to see how accurate the model is and make it better.
- Find useful information: Look at the results to give advice wey go help the business.
- Build better features: Create new data features wey go make the model predict things better.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Level up your Business Intelligence know-how with our Applied Machine Learning Training, tailor-made for professionals who want proper, top-quality learning. Learn how to clean and prepare data, find the best features, and choose the right model using things like decision trees and group methods. Get better at training models, checking how good they are, and making them even better, while learning how to find useful information and give good advice. This training go give you the power to turn data into business decisions wey go help your company grow, and you fit learn at your own speed.
Elevify advantages
Develop skills
- Learn how to prepare data properly: Make sure data is consistent, deal with missing information, and change variables into the right format.
- Make models work their best: Fine-tune the settings and compare different methods to see which one works best.
- Check how good models are: Use different measures to see how accurate the model is and make it better.
- Find useful information: Look at the results to give advice wey go help the business.
- Build better features: Create new data features wey go make the model predict things better.
Suggested summary
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