Department of Computer Science & Engineering

The Snapchat ads dataset contains political ad data for ads on Snapchat, oneof the largest social media networks in the world. A key feature of the datasetis how much money an organization spends on a particular ad, found in the`Spend` column. It is reasonable to assume that this amount varies based oncertain factors, but can we use those factors to figure out how much is spenton an ad? We can explore this by predicting ad spending through machinelearning. After feature analysis and engineering, we arrive at a linearregression model with $R^2$ = .85 and perform a fairness evaluation of thealgorithm.