What are some advanced data imputation techniques?

What are some advanced data imputation techniques?

Advanced data imputation techniques include methods like K-Nearest Neighbors, Multiple Imputation, and Deep Learning approaches.

Can you explain how K-Nearest Neighbors works for imputation?

K-Nearest Neighbors (KNN) imputes missing values by finding the 'k' closest data points and averaging their values.

What is Multiple Imputation and how is it different from KNN?

Multiple Imputation creates several different plausible datasets by imputing values multiple times, allowing for uncertainty.

Are there any deep learning methods for data imputation?

Yes, deep learning methods like autoencoders can learn complex patterns in data to effectively impute missing values.