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Recommender System Course
Discover how to create personalised recommendations with our Recommender System Course, created for Eritrean technology professionals wanting to improve their skills. Learn about data preparation, including how to deal with missing information and change data formats. Use advanced models with TensorFlow and Python, exploring methods like collaborative filtering and matrix factorization. Fine-tune models with hyperparameter adjustments and performance measurements, and improve user experience with customisation strategies. Join us and learn how to turn data into useful information.
- Master data preparation: Clean, change, and organise data well.
- Implement models: Use Python, TensorFlow, and Scikit-learn for suggestions.
- Optimize algorithms: Adjust hyperparameters and measure performance.
- Personalise experiences: Make user engagement better by using customised suggestions.
- Analyze data: Find trends and show them visually to make smart decisions.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Discover how to create personalised recommendations with our Recommender System Course, created for Eritrean technology professionals wanting to improve their skills. Learn about data preparation, including how to deal with missing information and change data formats. Use advanced models with TensorFlow and Python, exploring methods like collaborative filtering and matrix factorization. Fine-tune models with hyperparameter adjustments and performance measurements, and improve user experience with customisation strategies. Join us and learn how to turn data into useful information.
Elevify advantages
Develop skills
- Master data preparation: Clean, change, and organise data well.
- Implement models: Use Python, TensorFlow, and Scikit-learn for suggestions.
- Optimize algorithms: Adjust hyperparameters and measure performance.
- Personalise experiences: Make user engagement better by using customised suggestions.
- Analyze data: Find trends and show them visually to make smart decisions.
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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