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Session 3 Data Identification and Acquisition
The learners will understand;
- Data Recognization and Identification
- Examples of Data Identification
- Advantages of Data Identification
- Data Acquisition Basics and Techniques
Session 4 Modelling Approach and Validation
This session will cover;
- Rule Based Learning
- Neural Networks
- Basics of Model Validation
- Model Validation Techniques
- Advantages of train-test-split
