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Python AI Course
Unlock the power of Artificial Intelligence using Python with our Python AI Course (Zambian Edition). This course is designed for tech professionals in Zambia who want to become experts in recommendation systems. You'll learn about collaborative and content-based filtering, become proficient in collecting and preparing data using Pandas, and work with movie datasets. Improve your skills in exploratory data analysis using Matplotlib and Seaborn. You will also implement models using Python and NumPy. Learn to evaluate and improve these models using precision, recall, and the F1-score. Lastly, you'll learn to create clear and easy to understand documentation and reports.
- Master collaborative filtering: Improve AI by understanding how users and items interact.
- Clean and prepare data: Get datasets ready for accurate AI model training.
- Visualize data insights: Use Matplotlib and Seaborn to show important data in a meaningful way.
- Evaluate models effectively: Use precision, recall, and F1-score to check how well your models are performing.
- Document with clarity: Write short, clear reports that include code examples and pictures.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of Artificial Intelligence using Python with our Python AI Course (Zambian Edition). This course is designed for tech professionals in Zambia who want to become experts in recommendation systems. You'll learn about collaborative and content-based filtering, become proficient in collecting and preparing data using Pandas, and work with movie datasets. Improve your skills in exploratory data analysis using Matplotlib and Seaborn. You will also implement models using Python and NumPy. Learn to evaluate and improve these models using precision, recall, and the F1-score. Lastly, you'll learn to create clear and easy to understand documentation and reports.
Elevify advantages
Develop skills
- Master collaborative filtering: Improve AI by understanding how users and items interact.
- Clean and prepare data: Get datasets ready for accurate AI model training.
- Visualize data insights: Use Matplotlib and Seaborn to show important data in a meaningful way.
- Evaluate models effectively: Use precision, recall, and F1-score to check how well your models are performing.
- Document with clarity: Write short, clear reports that include code examples and pictures.
Suggested summary
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