What are some common machine learning algorithms?
Some common machine learning algorithms include linear regression, decision trees, support vector machines, and neural networks.
Can you explain how a decision tree works?
A decision tree splits data into branches based on feature values, making decisions at each node until it reaches a leaf.
What are the advantages of using neural networks?
Neural networks can model complex patterns, handle large datasets, and improve accuracy with more data.
How do I choose the right algorithm for my problem?
Choosing the right algorithm depends on your data type, problem complexity, and the desired outcome. Experimentation is key!
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