In this project, we explored the Google Play Store dataset. We employed Random Sample Imputation to manage missing values and conducted statistical tests to assess data normality. Outlier detection techniques were used to evaluate data skewness. For data modeling, we utilized ML techniques, measuring regression and classification models.
