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AI Engineering Course
Level up your tech game with our AI Engineering Course, specially made for Naija tech professionals wey dey eager to sabi AI well-well. Enter inside model evaluation techniques like Recall, F1-Score, and cross-validation. Sharpen your skills for writing correct documentation and learn machine learning algorithms to predict customers wey wan comot (churn prediction), including decision trees and logistic regression. Become expert for data exploration, feature encoding, and how to make your models work better (optimization strategies). Join us make we turn data into correct insights wey go bring better things and push innovation for your work.
- Master model evaluation: Make your model dey correct well-well using Recall, F1-Score, and Precision.
- Document effectively: Explain your decisions well and understand results clearly.
- Predict churn: Use Decision Trees, Random Forests, and Logistic Regression to know customers wey wan comot.
- Prepare data: Do proper data exploration and handle data wey dey miss well.
- Optimize models: Use ensemble methods and fine-tune hyperparameters to make your models work like magic.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Level up your tech game with our AI Engineering Course, specially made for Naija tech professionals wey dey eager to sabi AI well-well. Enter inside model evaluation techniques like Recall, F1-Score, and cross-validation. Sharpen your skills for writing correct documentation and learn machine learning algorithms to predict customers wey wan comot (churn prediction), including decision trees and logistic regression. Become expert for data exploration, feature encoding, and how to make your models work better (optimization strategies). Join us make we turn data into correct insights wey go bring better things and push innovation for your work.
Elevify advantages
Develop skills
- Master model evaluation: Make your model dey correct well-well using Recall, F1-Score, and Precision.
- Document effectively: Explain your decisions well and understand results clearly.
- Predict churn: Use Decision Trees, Random Forests, and Logistic Regression to know customers wey wan comot.
- Prepare data: Do proper data exploration and handle data wey dey miss well.
- Optimize models: Use ensemble methods and fine-tune hyperparameters to make your models work like magic.
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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