How do I choose the right algorithm for my project?

I'm working on a machine learning project. How do I choose the right algorithm?

Choosing the right algorithm depends on your data type, the problem you're solving, and your performance goals. Can you tell me more about your project?

I have a dataset for predicting house prices. What should I consider?

For predicting house prices, consider regression algorithms like Linear Regression or Decision Trees. Do you have a preference for interpretability or accuracy?

I prefer accuracy. Should I try ensemble methods?

Yes, ensemble methods like Random Forest or Gradient Boosting can improve accuracy. Have you tried any algorithms yet?

Not yet. I want to start with something simple. Any recommendations?

Starting with Linear Regression is a good choice for simplicity. You can always explore more complex models later!