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Applied Machine Learning Course
Sharpen your Business Intelligence skills with our Applied Machine Learning Course, specially made for professionals who dey look for learning wey be practical and top-notch. You go master how to prepare data well, explore how to create new features from data, and dive deep into how to choose models with techniques like decision trees and ensemble methods. Improve your skill for training, judging, and making models better, while you dey learn how to get useful insights and give recommendations wey you fit act on. This course go give you power to turn data into business decisions wey dey give results, all at your own pace.
- Master data preprocessing: Make data normal, handle data wey dey miss, and encode variables well-well.
- Optimize models: Fine-tune the settings of your models and compare different algorithms so you go get the best performance.
- Evaluate models: Use metrics to check how accurate your model be and make am better.
- Develop insights: Look at the results well so you go fit give business recommendations wey people fit use do something.
- Engineer features: Create new data features so the model go fit predict better.

flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
Sharpen your Business Intelligence skills with our Applied Machine Learning Course, specially made for professionals who dey look for learning wey be practical and top-notch. You go master how to prepare data well, explore how to create new features from data, and dive deep into how to choose models with techniques like decision trees and ensemble methods. Improve your skill for training, judging, and making models better, while you dey learn how to get useful insights and give recommendations wey you fit act on. This course go give you power to turn data into business decisions wey dey give results, all at your own pace.
Elevify advantages
Develop skills
- Master data preprocessing: Make data normal, handle data wey dey miss, and encode variables well-well.
- Optimize models: Fine-tune the settings of your models and compare different algorithms so you go get the best performance.
- Evaluate models: Use metrics to check how accurate your model be and make am better.
- Develop insights: Look at the results well so you go fit give business recommendations wey people fit use do something.
- Engineer features: Create new data features so the model go fit predict better.
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 workloadWhat our students say
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