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

[darpan-2001]

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.

[lucifertrj]

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

[DhruvSanghvi2002]

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

[Adarshh9]

can you assign me this issue?