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AI And Machine Learning Course
Boost your Business Intelligence career with our AI and Machine Learning Course. Get skilled in data preparation, including formatting, dealing with missing values, and handling outliers properly. Explore predictive algorithms like linear regression, decision trees, and more advanced techniques like random forests. Fine-tune models using ensemble methods and hyperparameter tuning. Learn about cross-validation, data splitting, and how to measure performance. Improve your ability to understand results and write good reports. Sign up now for learning that's straight to the point and top-notch, made for BI professionals like you.
- Become a pro at data cleaning: Sort out missing values and outliers with accuracy.
- Use ML algorithms: Apply linear regression and decision trees effectively.
- Fine-tune models: Make models work better with hyperparameter tuning and ensemble methods.
- Check how accurate models are: Use cross-validation and performance measures like MAE and RMSE.
- Report what you find: Create reports that grab attention and confidently analyze 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 skilled in data preparation, including formatting, dealing with missing values, and handling outliers properly. Explore predictive algorithms like linear regression, decision trees, and more advanced techniques like random forests. Fine-tune models using ensemble methods and hyperparameter tuning. Learn about cross-validation, data splitting, and how to measure performance. Improve your ability to understand results and write good reports. Sign up now for learning that's straight to the point and top-notch, made for BI professionals like you.
Elevify advantages
Develop skills
- Become a pro at data cleaning: Sort out missing values and outliers with accuracy.
- Use ML algorithms: Apply linear regression and decision trees effectively.
- Fine-tune models: Make models work better with hyperparameter tuning and ensemble methods.
- Check how accurate models are: Use cross-validation and performance measures like MAE and RMSE.
- Report what you find: Create reports that grab attention and confidently analyze model predictions.
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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