Open darpan-2001 opened 2 years ago
Naive Bayes algorithm, text feature extraction, sklearn pipeline object.
Create an e-mail spam detection model.
Basic understanding of Naive Bayes algorithm, Python and scikit-learn basics.
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
I have the solution ready implemented with Multinomial Naive Bayes algorithm, will be happy to create pull request to include the exercise solution.
I will take this one, could you assign me this project @darpan-2001?
I would love to solve this challenge ,kindly assign me this issue @darpan-2001
can you assign me this issue?
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.