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AI Specialist Course
Level up your career with our AI Specialist Course (Naija Edition), wey dem design for tech professionals wey dey eager to sabi di correct things about artificial intelligence. Enter inside data collection and preparation, learn how to handle data wey dey miss, and use normalization techniques. Become expert for model evaluation metrics like MAE and R-squared, and sharpen your skills for model training and hyperparameter tuning using Scikit-Learn. Explore machine learning algorithms like decision trees and random forests, and make your documentation and reporting skills better. Join us make your AI skill strong today!
- Master data collection: Know how to find and prepare correct datasets sharp sharp.
- Optimize models: Train and tune models using Scikit-Learn techniques well well.
- Evaluate performance: Check models with MAE, R-squared, and MSE metrics to see how dem dey perform.
- Implement algorithms: Use decision trees, linear regression, and random forests to solve problems.
- Document insights: Write complete technical reports and give correct presentations.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Level up your career with our AI Specialist Course (Naija Edition), wey dem design for tech professionals wey dey eager to sabi di correct things about artificial intelligence. Enter inside data collection and preparation, learn how to handle data wey dey miss, and use normalization techniques. Become expert for model evaluation metrics like MAE and R-squared, and sharpen your skills for model training and hyperparameter tuning using Scikit-Learn. Explore machine learning algorithms like decision trees and random forests, and make your documentation and reporting skills better. Join us make your AI skill strong today!
Elevify advantages
Develop skills
- Master data collection: Know how to find and prepare correct datasets sharp sharp.
- Optimize models: Train and tune models using Scikit-Learn techniques well well.
- Evaluate performance: Check models with MAE, R-squared, and MSE metrics to see how dem dey perform.
- Implement algorithms: Use decision trees, linear regression, and random forests to solve problems.
- Document insights: Write complete technical reports and give correct presentations.
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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