What are some common data science errors and how can I fix them?

What are some common data science errors I should be aware of?

Some common errors include data leakage, overfitting, and not validating models properly.

How can I fix data leakage in my model?

To fix data leakage, ensure that your training and test datasets are completely separate and that no information from the test set is used during training.

What about overfitting? How can I prevent that?

You can prevent overfitting by using techniques like cross-validation, regularization, and simplifying your model.

Can you explain how to validate my models properly?

Validating models can be done using techniques like k-fold cross-validation, which helps ensure that your model generalizes well to unseen data.