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AI Engineering Course
Carry your tech work to the next level wit' our AI Engineering Training Programme, weh dem design for technology people weh eehn get heart for master AI. Tek deep dive inside model evaluation ways like Recall, F1-Score, and cross-validation. Improve your skills for write clear documents, and check out machine learning algorithms for know which customers go lef you, incase Decision Trees and Logistic Regression. Get strong knowledge for explore data, change features, and make models work better. Join we so that we fit turn data into useful information and push innovation inside your work place.
- Master model evaluation: Make model dem work better wit' Recall, F1-Score, and Precision.
- Document effectively: Talk clear say why you do am so and explain results so people go understand.
- Predict churn: Use Decision Trees, Random Forests, and Logistic Regression for know who go lef you.
- Prepare data: Check data well and handle data weh eehn dey complete proper proper.
- Optimize models: Use ensemble methods and fine-tune hyperparameters for make model dem perfect.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Carry your tech work to the next level wit' our AI Engineering Training Programme, weh dem design for technology people weh eehn get heart for master AI. Tek deep dive inside model evaluation ways like Recall, F1-Score, and cross-validation. Improve your skills for write clear documents, and check out machine learning algorithms for know which customers go lef you, incase Decision Trees and Logistic Regression. Get strong knowledge for explore data, change features, and make models work better. Join we so that we fit turn data into useful information and push innovation inside your work place.
Elevify advantages
Develop skills
- Master model evaluation: Make model dem work better wit' Recall, F1-Score, and Precision.
- Document effectively: Talk clear say why you do am so and explain results so people go understand.
- Predict churn: Use Decision Trees, Random Forests, and Logistic Regression for know who go lef you.
- Prepare data: Check data well and handle data weh eehn dey complete proper proper.
- Optimize models: Use ensemble methods and fine-tune hyperparameters for make model dem perfect.
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