•Completed yelp rating prediction project competition on Kaggle for the statistics club. My team mainly used R studio to create a model that efficiently predict the yelp user rating using sentimental analysis. •Explored R packages like random forest, mice, MissForest and ggplot to construct Models with parametric imputation. •The Final model achieved 60 percent prediction accuracy and was ranked 4th among teams in the university statistics department.