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Used Hypothesis Testing to gather analytical insights about Manhattan Yelp and Inspection Grade data. Additionally, Used Machine Learning Classification techniques such as Logistic Regression, Decision Tree, Random Forest, XGBoost, and Adaboost, to predict Yelp ratings for Manhattan restaurants.
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