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Understanding functional and technical aspects of AWS Certified Machine Learning Specialty Exam Exploratory Data Analysis
The following will be dicussed here:
- Analyze and visualize data for machine learning
- Perform feature engineering
- Sanitize and prepare data for modeling
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What are the exam results for AWS Certified Machine Learning - Specialty
The examination is a pass or fail exam. The examination is scored against a minimum standard established by AWS professionals who are guided by certification industry best practices and guidelines. Your results for the examination are reported as a score from 100-1,000, with a minimum passing score of 720. Your score shows how you performed on the examination as a whole and whether or not you passed. Scaled scoring models are used to equate scores across multiple exam forms that may have slightly different difficulty levels. Your score report contains a table of classifications of your performance at each section level. This information is designed to provide general feedback concerning your examination performance. The examination uses a compensatory scoring model, which means that you do not need to “pass” the individual sections, only the overall examination. Each section of the examination has a specific weighting, so some sections have more questions than others.
Amazon MLS-C01 Korean Exam Syllabus Topics:
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Understanding functional and technical aspects of AWS Certified Machine Learning - Specialty Exploratory Data Analysis
The following will be discussed in AMAZON MLS-C01 exam dumps:
- Analyze and visualize data for machine learning
- Perform feature engineering
- Sanitize and prepare data for modeling
