How do I choose the right optimization technique for my project?

How do I choose the right optimization technique for my project?

Choosing the right optimization technique depends on your specific problem, data characteristics, and constraints. Can you provide more details about your project?

I'm working on a machine learning model for predicting house prices.

For a regression problem like predicting house prices, techniques like gradient descent, genetic algorithms, or even grid search for hyperparameter tuning could be effective. Do you have a preference for any specific method?

I prefer methods that are easy to implement and understand.

In that case, I recommend starting with gradient descent or grid search. They are widely used and have plenty of resources available for implementation. Would you like guidance on how to implement one of these?

Yes, please! Can you explain how to implement gradient descent?