Accredited by
Certified Machine Learning Expert
CMLE-DS2040
- Beginner-Expert Level.
- Globally recognized.
- Project-based assessment on key aspects of Machine Leaning algorithms, Modeling algorithms, Model Deployment.
Syllabus Overview
- Machine Learning Introduction
- Machine Learning Programming Platforms
- Machine Learning Workflow
- Types of machine learning algorithms
- Machine Learning Core algorithms
- Machine Learning Advanced algorithms
- Feature Engineering Techniques
- Machine Learning Model tuning
- Machine Learning Advanced Techniques
- Machine Learning Evaluation Metrics
- Machine Learning Model Deployment
Who can pursue?
- Professionals working in data science and machine learning fields.
- Beginners and students who aspire to pursue a career in Data Science and Machine Learning.
- Anyone who is interested in switching career to Data Science and Machine Learning.
Prerequisites
- Basics of statistics.
- Essential mathematics.
- Essential software programming skills
Examination
Materials Permitted
- The examination is an “open book”.
- Candidates can refer to any material
Examination duration and format
- The essential duration is 8 hours.
- The project is graded for three areas; Project summary with recommendations, Learning model performance and Exploratory Data analysis
- No negative marking.
Exam Mode
Examination can be virtual or physical at AFRICDSA exam centers.
Pass Criteria
The candidate needs to score 60% or higher to pass the examination
