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AI Mastery Course
Open your eye well well to the power of artificial intelligence with our AI Sabi Course. We dey design am for technology people who dey hungry to do well. Enter inside data understanding and exploration; learn how to find patterns and do exploratory analysis. Sharpen your skills for data preprocessing, feature engineering, and how to make your model work proper. You go learn how to train and check models using correct algorithms like decision trees and random forests. We go finish with how to write everything down and report well, so your AI projects go make sense and people go understand am.
- Master data exploration: Find patterns and things wey no correct for inside datasets.
- Optimize models: Make your model work proper with hyperparameter tuning and plenty different methods.
- Engineer features: Create and rank features so the model go dey accurate.
- Evaluate algorithms: Compare models using precision, recall, and F1-score metrics (we go explain am well).
- Document insights: Write clear reports and talk about the things you find based on the data.
flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
Open your eye well well to the power of artificial intelligence with our AI Sabi Course. We dey design am for technology people who dey hungry to do well. Enter inside data understanding and exploration; learn how to find patterns and do exploratory analysis. Sharpen your skills for data preprocessing, feature engineering, and how to make your model work proper. You go learn how to train and check models using correct algorithms like decision trees and random forests. We go finish with how to write everything down and report well, so your AI projects go make sense and people go understand am.
Elevify advantages
Develop skills
- Master data exploration: Find patterns and things wey no correct for inside datasets.
- Optimize models: Make your model work proper with hyperparameter tuning and plenty different methods.
- Engineer features: Create and rank features so the model go dey accurate.
- Evaluate algorithms: Compare models using precision, recall, and F1-score metrics (we go explain am well).
- Document insights: Write clear reports and talk about the things you find based on the data.
Suggested summary
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