What are some common machine learning algorithms?
Some common machine learning algorithms include linear regression, decision trees, and support vector machines.
Can you explain how decision trees work?
Decision trees split data into branches based on feature values, making decisions at each node until a final output is reached.
What are the advantages of using support vector machines?
Support vector machines are effective in high-dimensional spaces and are robust against overfitting, especially in cases with clear margins.
How do I choose the right algorithm for my data?
Choosing the right algorithm depends on the data type, the problem you're solving, and the desired outcome. Experimentation is key!
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