Dark data means those data in which we fail to use for future decisions. It is a subset of big data. There are many issues in existing work, but some needs a powerful tools for utilizing dark data. It needs sufficient techniques to deal with dark data. That enables users to exploit their excellence, adaptability, speed, less time utilization, execution, and accessibility. Another issue is the way to utilize dark data to extract helpful information to settle on better choices. In this paper, we proposed upgrade strategies to remove the dark side from dark data. Used supervised machine learning techniques utilized dark data and obtained F1 accuracy score of 89.48%.