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AI Engineering Course
Level up your tech career with our AI Engineering Course, specially designed for tech professionals keen to master AI. Deep dive into model evaluation techniques like Recall, F1-Score, and cross-validation. Sharpen your skills in writing proper documentation and check out machine learning algorithms for churn prediction, including decision trees and logistic regression. Get solid expertise in data exploration, feature encoding, and model optimisation strategies. Join us to turn data into actionable insights and drive innovation in your field, lah!
- Master model evaluation: Improve accuracy using Recall, F1-Score, and Precision.
- Document effectively: Explain your decisions and interpret results clearly, hor.
- Predict churn: Use Decision Trees, Random Forests, and Logistic Regression to see who's gonna leave, can?
- Prepare data: Do exploratory analysis and deal with missing data properly.
- Optimise models: Use ensemble methods and fine-tune hyperparameters, sia.

4 to 360 hours of flexible workload
certificate recognized by the Ministry of Education
What Will I Learn?
Level up your tech career with our AI Engineering Course, specially designed for tech professionals keen to master AI. Deep dive into model evaluation techniques like Recall, F1-Score, and cross-validation. Sharpen your skills in writing proper documentation and check out machine learning algorithms for churn prediction, including decision trees and logistic regression. Get solid expertise in data exploration, feature encoding, and model optimisation strategies. Join us to turn data into actionable insights and drive innovation in your field, lah!
Elevify Advantages
Develop Skills
- Master model evaluation: Improve accuracy using Recall, F1-Score, and Precision.
- Document effectively: Explain your decisions and interpret results clearly, hor.
- Predict churn: Use Decision Trees, Random Forests, and Logistic Regression to see who's gonna leave, can?
- Prepare data: Do exploratory analysis and deal with missing data properly.
- Optimise models: Use ensemble methods and fine-tune hyperparameters, sia.
Suggested Summary
Before starting, you can change the chapters and the 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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