Abstract: A telecommunication network associated with a wireless telecommunication provider can be configured based, at least in part, on one or more predictions of cell congestion. Data that may be utilized in the prediction of congestion is received and/or collected from one or more components. According to some examples, machine learning is utilized to generate the predictions. The prediction of cell congestion may be a prediction of congestion for a particular cell, or a group of cells (e.g., cells that exhibit similar activity may be clustered). In some configurations, cells that have exhibited congestion may be grouped or clustered such that a user may be able to more easily view mitigation solutions attempted in the past to address the congestion. After generating the cell congestion predictions, one or more actions may be taken to mitigate the predicted congestion.