Amazon Reviews analysis

Applied classification techniques on amazon food reviews dataset available in kaggle. Firstly analyzed the data, cleaned it by performing preprocessing techniques and then applied algorithms like KNN, Naïve Bayes, Logistic Regression, SVM, Random Forest, GBDT, Stochastic gradient descent Regressor, K-Means to classify whether the review is positive or negative so that in future without knowing the actual class the reviews can be classified into one of the classes.