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AI Specialist Course
Take your career higher with our AI Specialist Course Yaffe. It's made for tech people who really want to master the important things about artificial intelligence. You'll go deep into collecting and getting data ready, learn how to sort out data that's missing, and use ways to make sure your data is normal. Become a proper expert in checking how good your models are using things like MAE and R-squared, and get better at training your models and tuning them up with Scikit-Learn. Check out machine learning algorithms like decision trees and random forests, and make your documentation and reporting skills top-notch. Join us now and change your AI game completely!
- Become a master at collecting data: Find and get the correct data sets ready quickly and properly.
- Make your models work their best: Train and tune up your models using Scikit-Learn ways.
- Check how well they are working: Analyze your models using MAE, R-squared, and MSE to see how good they are.
- Use the correct algorithms: Apply decision trees, linear regression, and random forests like a pro.
- Write everything down clearly: Make proper technical reports and presentations that everyone can understand.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Take your career higher with our AI Specialist Course Yaffe. It's made for tech people who really want to master the important things about artificial intelligence. You'll go deep into collecting and getting data ready, learn how to sort out data that's missing, and use ways to make sure your data is normal. Become a proper expert in checking how good your models are using things like MAE and R-squared, and get better at training your models and tuning them up with Scikit-Learn. Check out machine learning algorithms like decision trees and random forests, and make your documentation and reporting skills top-notch. Join us now and change your AI game completely!
Elevify advantages
Develop skills
- Become a master at collecting data: Find and get the correct data sets ready quickly and properly.
- Make your models work their best: Train and tune up your models using Scikit-Learn ways.
- Check how well they are working: Analyze your models using MAE, R-squared, and MSE to see how good they are.
- Use the correct algorithms: Apply decision trees, linear regression, and random forests like a pro.
- Write everything down clearly: Make proper technical reports and presentations that everyone can understand.
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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