How do I choose the right machine learning model?

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

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

I have a dataset with both numerical and categorical features.

Great! For mixed data types, you might consider models like Random Forest or Gradient Boosting. What is your target variable?

I'm trying to predict a continuous value.

In that case, regression models like Linear Regression or Decision Trees could be effective. Have you thought about model evaluation metrics?

Yes, I want to use RMSE to evaluate the models.

That's a solid choice! RMSE will help you understand the average error of your predictions. Would you like tips on model training?