What is the role of data in machine learning?

What is the role of data in machine learning?

Data is crucial in machine learning as it helps algorithms learn patterns and make predictions.

Can you explain how data quality affects model performance?

Absolutely! High-quality data leads to better model accuracy, while poor data can result in misleading outcomes.

What types of data are commonly used in machine learning?

Common types include structured data (like databases), unstructured data (like text and images), and time-series data.

How do you handle missing data in a dataset?

Missing data can be handled by imputation, removing missing entries, or using algorithms that support missing values.