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Applied Machine Learning Course
Enhance your Business Intelligence skills with our Applied Machine Learning Course, crafted for professionals looking for practical, top-notch learning. Gain mastery in data pre-processing, delve into feature engineering, and explore model selection using techniques like decision trees and ensemble methods. Improve your expertise in model training, evaluation, and optimisation, while developing actionable insights and recommendations. This course empowers you to transform data into strategic business decisions, all at your own convenience.
- Master data pre-processing: Normalise data, handle missing values, and encode variables.
- Optimise models: Fine-tune hyperparameters and compare algorithms for optimal performance.
- Evaluate models: Use metrics to assess and improve model accuracy.
- Develop insights: Analyse results to provide actionable business recommendations.
- Engineer features: Create new data features to boost predictive power.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Enhance your Business Intelligence skills with our Applied Machine Learning Course, crafted for professionals looking for practical, top-notch learning. Gain mastery in data pre-processing, delve into feature engineering, and explore model selection using techniques like decision trees and ensemble methods. Improve your expertise in model training, evaluation, and optimisation, while developing actionable insights and recommendations. This course empowers you to transform data into strategic business decisions, all at your own convenience.
Elevify advantages
Develop skills
- Master data pre-processing: Normalise data, handle missing values, and encode variables.
- Optimise models: Fine-tune hyperparameters and compare algorithms for optimal performance.
- Evaluate models: Use metrics to assess and improve model accuracy.
- Develop insights: Analyse results to provide actionable business recommendations.
- Engineer features: Create new data features to boost predictive power.
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 workload.What our students say
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