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AI And Machine Learning Course
Level up your Business Intelligence game with our AI and Machine Learning Course. Oya, learn how to prepare data well well, including formatting, sorting out missing values, and dealing with those yawa outliers. Enter inside predictive algorithms like linear regression, decision trees, and the big boys like random forests. Fine-tune your models with ensemble methods and hyperparameter tuning. Learn how to do cross-validation, split your data like moi-moi, and use performance metrics to check yourself. Sharpen your skills in understanding results and writing correct report. Join us now for learning wey dey straight to the point and top quality, specially made for BI professionals like you.
- Master data cleaning: Tackle missing values and outliers like a true oga.
- Implement ML algorithms: Use linear regression and decision trees like you sabi am well well.
- Optimize models: Make your models shine with hyperparameter tuning and ensemble methods.
- Evaluate model accuracy: Use cross-validation and performance metrics like MAE and RMSE to see if you dey correct.
- Report insights: Write correct reports wey go make sense and analyze model predictions with confidence.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Level up your Business Intelligence game with our AI and Machine Learning Course. Oya, learn how to prepare data well well, including formatting, sorting out missing values, and dealing with those yawa outliers. Enter inside predictive algorithms like linear regression, decision trees, and the big boys like random forests. Fine-tune your models with ensemble methods and hyperparameter tuning. Learn how to do cross-validation, split your data like moi-moi, and use performance metrics to check yourself. Sharpen your skills in understanding results and writing correct report. Join us now for learning wey dey straight to the point and top quality, specially made for BI professionals like you.
Elevify advantages
Develop skills
- Master data cleaning: Tackle missing values and outliers like a true oga.
- Implement ML algorithms: Use linear regression and decision trees like you sabi am well well.
- Optimize models: Make your models shine with hyperparameter tuning and ensemble methods.
- Evaluate model accuracy: Use cross-validation and performance metrics like MAE and RMSE to see if you dey correct.
- Report insights: Write correct reports wey go make sense and analyze model predictions with confidence.
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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