Closed codewithpiyushh closed 3 weeks ago
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊
What are the machine learning models you are planning to implement? @codewithpiyushh
i am thinking of doing it with naive bayes, SVM and my main motive is to do it with NLP
Implement at least 5-6 models for this project.
Assigned @codewithpiyushh
Hello @codewithpiyushh! Your issue #614 has been closed. Thank you for your contribution!
ML-Crate Repository (Proposing new issue)
:red_circle: End to End Email spam classifier : :red_circle: to make an End to End Email spam classifier using natural language process which will improve the effictiveness : :red_circle: https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset : :red_circle: Approach : Try to use 3-4 algorithms and natural language process to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model. with that creating seperate web for that
📍 Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎