Free course
US$0,00
Premium course
US$30,90
AI And Machine Learning Course
Boost your Business Intelligence career with our AI and Machine Learning Course. Get to grips with data preparation, including formatting, sorting out missing values, and dealing with outliers. Sink your teeth into predictive algorithms like linear regression, decision trees, and more advanced methods like random forests. Fine-tune models using ensemble methods and hyperparameter tuning. Learn about cross-validation, data splitting, and performance metrics. Sharpen your skills in understanding results and writing clear reports. Sign up now for focused, top-notch learning designed for BI professionals.
- Master data cleaning: Sort out missing values and outliers properly.
- Implement ML algorithms: Use linear regression and decision trees effectively.
- Optimise models: Improve performance with hyperparameter tuning and ensemble methods.
- Evaluate model accuracy: Use cross-validation and performance metrics like MAE and RMSE.
- Report insights: Put together convincing reports and confidently analyse model predictions.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Boost your Business Intelligence career with our AI and Machine Learning Course. Get to grips with data preparation, including formatting, sorting out missing values, and dealing with outliers. Sink your teeth into predictive algorithms like linear regression, decision trees, and more advanced methods like random forests. Fine-tune models using ensemble methods and hyperparameter tuning. Learn about cross-validation, data splitting, and performance metrics. Sharpen your skills in understanding results and writing clear reports. Sign up now for focused, top-notch learning designed for BI professionals.
Elevify advantages
Develop skills
- Master data cleaning: Sort out missing values and outliers properly.
- Implement ML algorithms: Use linear regression and decision trees effectively.
- Optimise models: Improve performance with hyperparameter tuning and ensemble methods.
- Evaluate model accuracy: Use cross-validation and performance metrics like MAE and RMSE.
- Report insights: Put together convincing reports and confidently analyse model predictions.
Suggested summary
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.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
Course in PDF