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 preprocessing - sortin' yer data out properly now. Explore feature engineering, and dive 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 Advantages
Develop skills
Strengthen the development of the practical skills listed below
Master data preprocessing: Normalize, handle missing data, and encode variables - get the data ship-shape, like.
Optimize models: Tune hyperparameters and compare algorithms for best performance - get them models workin' like a charm.
Evaluate models: Use metrics to assess and improve model accuracy - see how good your model is doin', so ya do.
Develop insights: Analyse results to provide actionable business recommendations - figure out what it all means and give good advice.
Engineer features: Create new data features to enhance predictive power - make the data tell even better stories, wha'.
Suggested summary
Workload: between 4 and 360 hours
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
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.