Can you explain how machine learning is used in data analysis?
Sure! Machine learning helps analyze large datasets by identifying patterns and making predictions based on data.
What are some common algorithms used in this process?
Common algorithms include linear regression, decision trees, and clustering methods like k-means.
How does the model improve over time?
The model improves through a process called training, where it learns from new data and adjusts its predictions accordingly.
Can you give an example of a real-world application?
Absolutely! One example is using machine learning for customer segmentation in marketing, helping businesses target their audience effectively.
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