How do I choose a classification algorithm for my project?

How do I choose a classification algorithm for my project?

Choosing a classification algorithm depends on several factors like the size of your dataset, the nature of your data, and the problem you're trying to solve. Can you provide more details about your project?

I have a medium-sized dataset with both numerical and categorical features.

For medium-sized datasets, algorithms like Decision Trees, Random Forests, or Support Vector Machines are often effective. Do you have a specific accuracy or interpretability requirement?

I need good accuracy, but interpretability is also important.

In that case, I recommend starting with Decision Trees or Logistic Regression. They offer a good balance between accuracy and interpretability. Would you like to know more about how to implement them?