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Published 20 hours ago • verified publisher icon gimseng

E-mail SPAM detection model using Multinomial Naive Bayes algorithm[EXE]

Open darpan-2001 opened this issue 3 years ago • 3 comments

Learning Goals

Naive Bayes algorithm, text feature extraction, sklearn pipeline object.

Exercise Statement

Create an e-mail spam detection model.

Prerequisites

Basic understanding of Naive Bayes algorithm, Python and scikit-learn basics.

Data source/summary:

Dataset if obtained from Kaggle. Data consists of email messages, already labeled as spam or ham. Link of dataset: https://www.kaggle.com/code/mfaisalqureshi/email-spam-detection-98-accuracy/data

(Optional) Suggest/Propose Solutions

I have the solution ready implemented with Multinomial Naive Bayes algorithm, will be happy to create pull request to include the exercise solution.

darpan-2001 avatar Oct 08 '22 15:10 darpan-2001

I will take this one, could you assign me this project @darpan-2001?

lucifertrj avatar Oct 08 '22 15:10 lucifertrj

I would love to solve this challenge ,kindly assign me this issue @darpan-2001

DhruvSanghvi2002 avatar Oct 08 '23 11:10 DhruvSanghvi2002

can you assign me this issue?

Adarshh9 avatar Oct 09 '23 17:10 Adarshh9