Applied Machine Learning Course
What will I learn?
Elevate your Business Intelligence skills with our Applied Machine Learning Course, designed for professionals seeking practical, high-quality learning. Master data pre-processing, explore feature engineering, and delve into model selection with techniques like decision trees and ensemble methods. Enhance 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 pace.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data pre-processing: Normalise, handle missing data, and encode variables.
Optimise models: Tune hyperparameters and compare algorithms for best 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 enhance predictive power.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.