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Applied Machine Learning Course
Make your Business Intelligence skills strong with our How to Use Machine Learning for Real-Life Work course. This course is for people who want to learn practical, good-quality things. You will learn how to clean data, find important things in the data, and pick the right machine learning models like decision trees and groups of models. You will get better at training models, checking if they are good, and making them even better. You will also learn how to understand the results and give advice that people can use. This course will help you change data into smart business decisions, and you can learn at your own speed.
- Learn how to clean data well: Make the data normal, fix missing parts, and change variables.
- Make models work their best: Adjust the settings and compare different ways to get the best results.
- Check if models are good: Use different measurements to see how correct the model is and make it better.
- Understand the results: Look at the results and give business advice that people can use.
- Find important things in the data: Create new data features to make the model predict things better.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Make your Business Intelligence skills strong with our How to Use Machine Learning for Real-Life Work course. This course is for people who want to learn practical, good-quality things. You will learn how to clean data, find important things in the data, and pick the right machine learning models like decision trees and groups of models. You will get better at training models, checking if they are good, and making them even better. You will also learn how to understand the results and give advice that people can use. This course will help you change data into smart business decisions, and you can learn at your own speed.
Elevify advantages
Develop skills
- Learn how to clean data well: Make the data normal, fix missing parts, and change variables.
- Make models work their best: Adjust the settings and compare different ways to get the best results.
- Check if models are good: Use different measurements to see how correct the model is and make it better.
- Understand the results: Look at the results and give business advice that people can use.
- Find important things in the data: Create new data features to make the model predict things better.
Suggested summary
Before starting, you can change the chapters and 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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