Applied Machine Learning Course
What will I learn?
Improve your Business Intelligence skills through our Applied Machine Learning Course. It's designed for professionals who want practical, top-quality learning. You will learn data preprocessing, explore feature engineering, and understand model selection using methods like decision trees and ensemble methods. Improve your skills in model training, evaluation, and optimization. Also, you will learn how to develop clear insights and recommendations. This course will help you turn data into business strategies at your own pace.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Learn data preprocessing: Normalize data, manage missing data, and encode variables properly.
Improve models: Tune hyperparameters and compare different algorithms to get the best results.
Evaluate models: Use different ways to measure and improve how well your model works.
Develop insights: Look at the results and give practical advice for business decisions.
Engineer features: Create new features from data to improve predictive power.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and workload.
- Choose your starting chapter
- Add or remove chapters
- Alter the total course workload
Examples of chapters you can include
You'll be able to generate additional chapters similar to 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 provides practical and relevant knowledge for your career.