https://github.com/gopikrsmscs/aws-ml-specialty-exam-guide

A detailed cheat sheet for AWS Certified Machine Learning - Specialty Exam.
https://github.com/gopikrsmscs/aws-ml-specialty-exam-guide

aws aws-certification aws-certification-prep aws-certified-machine-learning awscertified data-science machine-learning

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A detailed cheat sheet for AWS Certified Machine Learning - Specialty Exam.

• Host: GitHub
• URL: https://github.com/gopikrsmscs/aws-ml-specialty-exam-guide
• Owner: pavulurig
• License: mit
• Created: 2023-10-10T01:39:09.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-11T20:58:44.000Z (about 1 year ago)
• Last Synced: 2024-09-26T20:22:29.985Z (3 months ago)
• Topics: aws, aws-certification, aws-certification-prep, aws-certified-machine-learning, awscertified, data-science, machine-learning
• Homepage: https://aws.amazon.com/certification/certified-machine-learning-specialty/
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# aws-ml-specialty-preparation-guide

AWS Certified Machine Learning - Specialty MLS-C01 Preparation Guide

## About Exam

- AWS Certified Machine Learning - Specialty MLS-C01

- Most Advanced level certification

- Duration : 180 Minutes

- Cost : $300 

- Total questions: 65, Only 50 questions are for grading.

- Total Marks : 1000

- Required pass percentage : 75%

  

### Exam Topics

The exam has the following content domains and weightings:

- **Domain 1: Data Engineering** (20% of scored content)

- **Domain 2: Exploratory Data Analysis** (24% of scored content)

- **Domain 3: Modeling** (36% of scored content)

- **Domain 4: Machine Learning Implementation and Operations** (20% of scored

content) 

### Cheat sheets

- [Data Engineering](data-engineering/README.md)

- [Exploratory Data Analysis](exploratory-data-analysis/README.md)

- [Modeling](modeling/README.md)

- [Machine Learning Implementation and Operations](ml-implementation-operations/README.md)

**Currently working on this***