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AI And Machine Learning Course
Make your Business Intelligence work better with our AI and Machine Learning Lesson. You go learn how to prepare data well, like how to fix the way it look, how to handle when data missin', and how to deal with data weh different from the rest. You go dig inside predictin' things like linear regression, decision trees, and other strong methods like random forests. Make your models work better with ensemble methods and by adjustin' the settings. Learn how to test your model, split the data, and see how good it doin'. Make your skills better for understandin' the results and writin' good reports. Join now for clear, good learnin' weh make for people weh do BI work.
- Learn how to clean data good: Fix data weh missin' and data weh different from the rest.
- Use ML algorithms: Apply linear regression and decision trees well.
- Make models work better: Make performance better by adjustin' settings and usin' ensemble methods.
- See how good model dey: Use cross-validation and check how good model dey with metrics like MAE and RMSE.
- Report weh you see: Write reports weh strong and understand weh the model tell you.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Make your Business Intelligence work better with our AI and Machine Learning Lesson. You go learn how to prepare data well, like how to fix the way it look, how to handle when data missin', and how to deal with data weh different from the rest. You go dig inside predictin' things like linear regression, decision trees, and other strong methods like random forests. Make your models work better with ensemble methods and by adjustin' the settings. Learn how to test your model, split the data, and see how good it doin'. Make your skills better for understandin' the results and writin' good reports. Join now for clear, good learnin' weh make for people weh do BI work.
Elevify advantages
Develop skills
- Learn how to clean data good: Fix data weh missin' and data weh different from the rest.
- Use ML algorithms: Apply linear regression and decision trees well.
- Make models work better: Make performance better by adjustin' settings and usin' ensemble methods.
- See how good model dey: Use cross-validation and check how good model dey with metrics like MAE and RMSE.
- Report weh you see: Write reports weh strong and understand weh the model tell you.
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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