Programming python Jupiter notebook welcome to added more info please lable all theimplement the followingPlease label eventhing and comment...

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Programming python Jupiter notebook welcome to added more info



please lable all the





























implement the following
































Please label eventhing and comment code












  • Download and read the data set












  • Dropping the unwanted columns












  • Checking the maximum length of SMS












  • Implementation of Bag of Words Approach












  • Print maximum frequent word , print top 10 word












  • Implementing Bag of Words in scikit-learn












  • Data preprocessing with CountVectorizer()












  • Implementation of Naive Bayes Machine Learning Algorithm












  • Evaluating our SMS Spam Detection Model






































SMS spam detection In this assignment SMS spam detection, will need to implementing SMS spam detection. Please use jupyter notebook, Python You will use the dataset (spam.csv) and implement the following: Please label eventhing and comment code ● Download and read the data set ● Dropping the unwanted columns ● Checking the maximum length of SMS ● Implementation of Bag of Words Approach ● Print maximum frequent word , print top 10 word ● Implementing Bag of Words in scikit-learn ● Data preprocessing with CountVectorizer() ● Implementation of Naive Bayes Machine Learning Algorithm ● Evaluating our SMS Spam Detection Model Include at least three different visualizations. Please Label all graph ( properly labeled and clear horizontal bar char, make it different graph, like one bar chart, pie chart ,plot chart or anything ), cover legends, titles, and labels and make it readable Comment and accuracy and model used. Welcome to add anything Data set will be attached Example graph of one that i need
Answered 8 days AfterNov 02, 2022

Answer To: Programming python Jupiter notebook welcome to added more info please lable all...

Mukesh answered on Nov 05 2022
43 Votes
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