- Exploratory Data Analysis (24%):
- Analyzing data using statistical methods
- Preparing datasets for training and validation
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- Modeling (36%):
- Selecting appropriate machine learning algorithms
- Training, tuning, and validating models
- Using AWS services like Amazon SageMaker for model deployment and optimization
- Machine Learning Implementation and Operations (20%):
- Deploying machine learning models
- Monitoring model performance and implementing continuous improvements
- Scaling machine learning models on AWS infrastructure
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