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Applied Machine Learning Course
Boost your Business Intelligence skills with we Applied Machine Learning Training. E get plan for professionals who want learn proper, proper way. You go sabi clean data well, explore how to arrange data features, and dive deep inside how to choose model with different ways like decision trees and how to combine different methods. You go sabi train model well, check how good e dey, and make am even better. You go also learn how to find out things wey you can use to advice business people. This training go give you power to change data to business decisions wey go bring better results, all at your own time.
- Sabi clean data proper: Normalize data, handle data wey loss, and arrange variables well.
- Make models work fine: Tune hyperparameters and compare different ways to make sure say you get the best performance.
- Check how good models dey: Use different measures to check and make sure say the model dey correct.
- Find out important things: Look at the results well well to give business people advice wey dem fit use.
- Arrange data features: Create new data features to make the model predict better.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Boost your Business Intelligence skills with we Applied Machine Learning Training. E get plan for professionals who want learn proper, proper way. You go sabi clean data well, explore how to arrange data features, and dive deep inside how to choose model with different ways like decision trees and how to combine different methods. You go sabi train model well, check how good e dey, and make am even better. You go also learn how to find out things wey you can use to advice business people. This training go give you power to change data to business decisions wey go bring better results, all at your own time.
Elevify advantages
Develop skills
- Sabi clean data proper: Normalize data, handle data wey loss, and arrange variables well.
- Make models work fine: Tune hyperparameters and compare different ways to make sure say you get the best performance.
- Check how good models dey: Use different measures to check and make sure say the model dey correct.
- Find out important things: Look at the results well well to give business people advice wey dem fit use.
- Arrange data features: Create new data features to make the model predict better.
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