1. What are machine learning algorithms used for in modern technology?
Machine learning algorithms analyse data patterns to predict outcomes, classify information, and automate decisions.
2. Why is linear regression important in data science projects?
Linear regression predicts numerical trends by modelling relationships between variables using simple equations.
3. How do decision trees help in classification problems?
Decision trees break complex decisions into smaller logical steps that lead to clear predictions.
4. What makes neural networks powerful for artificial intelligence tasks?
Neural networks process information through layered nodes to identify complex patterns in large datasets.
5. Why do data scientists use multiple machine learning algorithms
Different algorithms solve different problems, so combining them improves prediction accuracy and reliability.
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