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Practical Data Science withAmazon SageMaker Course Overview

This course focuses on applying Machine Learning (ML) to solve real-world use cases using Amazon SageMaker. Participants will gain practical knowledge in the stages of the data science process, including analyzing and visualizing datasets, data preparation, and feature engineering. The course also covers the practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. A real-life use case of customer retention analysis is explored to provide insights for customer loyalty programs. By completing this course, participants will acquire the skills needed to effectively utilize Amazon SageMaker for ML projects and generate actionable results for real-world scenarios.
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Course Introduction

Price:

USD 300

Duration:

8 Hrs.

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Developers Data Scientists
Familiarity with Python programming language Basic understanding of Machine Learning

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