Overview
Model training is a key step in machine learning where we teach a computer to make predictions or decisions based on data. In this process, we use algorithms to learn patterns from training data. Understanding how to train models effectively is crucial for building accurate and reliable machine learning applications.
📚 Key Learning Objectives
- ✓ Define what model training is in machine learning.
- ✓ Identify different types of training algorithms.
- ✓ Explain the importance of training data quality.
- ✓ Demonstrate how to split data into training and testing sets.
- ✓ Evaluate the performance of a trained model.
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