Regression algorithms perform as a full-fledged model over well-defined relational data entities, but not much efficient for pulsating datasets. However, handling data with high irregularity is more complex, as its requirements are predominantly unavoidable. In this paper, a novel algorithm is proposed to estimate continuous outcomes for non-uniform or pulsating data using fluctuation-based calculations. The proposed unique approach for dealing with irregular data will address a key application of regression techniques.