Practical Data Science with Amazon SageMaker
In this intermediate-level course, individuals learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. Real life use cases include customer retention analysis to inform customer loyalty programs.
20 courses found
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- Delivery Format: Public Classroom
- Date 07 July, 2024
- Location: Riyadh
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- Delivery Format: Public Classroom
- Date 08 July, 2024
- Location: Dubai-Knowledge Village
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- Delivery Format: Virtual Learning
- Date 08 July, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date 28 July, 2024
- Location: Virtual
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- Delivery Format: Public Classroom
- Date 04 August, 2024
- Location: Riyadh
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- Delivery Format: Public Classroom
- Date 12 August, 2024
- Location: Dubai-Knowledge Village
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- Delivery Format: Virtual Learning
- Date 12 August, 2024
- Location: Virtual
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- Delivery Format: Public Classroom
- Date 23 September, 2024
- Location: Dubai-Knowledge Village
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- Delivery Format: Virtual Learning
- Date 23 September, 2024
- Location: Virtual
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- Delivery Format: Public Classroom
- Date 29 September, 2024
- Location: Riyadh
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