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Python AI Course
Unlock the potential of AI with our Python AI Course, crafted for tech professionals keen to excel in recommendation systems. Delve into collaborative and content-based filtering methodologies, master data collection and preparation using Pandas, and explore film datasets. Sharpen your skills with exploratory data analysis utilising Matplotlib and Seaborn, and implement models with Python and NumPy. Learn to evaluate and refine models using precision, recall, and F1-score, and create clear, concise documentation and reports.
- Master collaborative filtering: Enhance AI by leveraging user-item interaction insights.
- Clean and prepare data: Optimise datasets for accurate AI model training.
- Visualise data insights: Use Matplotlib and Seaborn to create impactful data visualisations.
- Evaluate models effectively: Apply precision, recall, and F1-score metrics.
- Document with clarity: Craft concise reports with code snippets and visual aids.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the potential of AI with our Python AI Course, crafted for tech professionals keen to excel in recommendation systems. Delve into collaborative and content-based filtering methodologies, master data collection and preparation using Pandas, and explore film datasets. Sharpen your skills with exploratory data analysis utilising Matplotlib and Seaborn, and implement models with Python and NumPy. Learn to evaluate and refine models using precision, recall, and F1-score, and create clear, concise documentation and reports.
Elevify advantages
Develop skills
- Master collaborative filtering: Enhance AI by leveraging user-item interaction insights.
- Clean and prepare data: Optimise datasets for accurate AI model training.
- Visualise data insights: Use Matplotlib and Seaborn to create impactful data visualisations.
- Evaluate models effectively: Apply precision, recall, and F1-score metrics.
- Document with clarity: Craft concise reports with code snippets and visual aids.
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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