How do I choose the right machine learning algorithm?

How do I choose the right machine learning algorithm for my project?

Choosing the right ML algorithm depends on your data, the problem type, and your goals. What type of data do you have?

I have a dataset with labeled examples for classification.

For classification tasks, you might consider algorithms like logistic regression, decision trees, or support vector machines. Do you have a preference?

I’m not sure. What factors should I consider when making a choice?

Consider factors like the size of your dataset, the complexity of the model, interpretability, and performance metrics. Would you like to dive deeper into any specific algorithm?