How can I reduce variance in my data analysis?

How can I reduce variance in my data analysis?

To reduce variance, you can use techniques like data normalization, feature selection, and regularization.

What is data normalization and how does it help?

Data normalization scales the data to a standard range, which helps in reducing variance and improving model performance.

Can you explain feature selection?

Feature selection involves choosing the most relevant features for your model, which can help reduce noise and variance.

What is regularization and when should I use it?

Regularization adds a penalty to the loss function to prevent overfitting, which can help manage variance in your model.