This assignment is based on implementing Python code on Amazon$\_$Unlocked$\_$Mobile data set. Python file and data file are provided on Blackboard.$1.[1$ pts$]$ Download the Amazon$\_$Unlocked$\_$Mobile data from Blackboard to Python.$2.[1$ pts$]$ Run the provided code to clean the data.$3.[1$ pts$]$ Run the provided code to find top $10$ products in Samsung.$4.[2$ pts$]$ Run the provided code to find top $10$ products in Apple.$5.[2$ pts$]$ Run the provided code to obtain the related functions $($stopwords$,$ CountVectorizer etc$)$ from NLTK package.$6.[2$ pts$]$ Obtain Training and Testing data.$7.[2$ pts$]$ Run the provided code to apply Naive Baiyes, Logistic Regression, Random Forest, Decision Tree and show the performances.$8.[4$ pts$]$ Apply TD$/$IDF vectorizer and repeat question $7.$