Data imputation is the process of replacing missing data with substituted values.

In this video, we will show you how to fill in missing data in datasets using the power of AI.

Missing data can be a major issue in data analysis. MOSTLY AI’s synthetic data generator is capable of learning the patterns of your data and filling in the missing parts with meaningful data points. How cool is that?

What’s more, this data imputation method outperforms other tools used to fill in missing data. MOSTLY AI captures the original distribution better than any other data imputation method, making your data not only complete but also more readable and better for training machine learning models.

No code or credit card is needed. Simply go to and register your free account to fill in your missing data with just a few clicks.