ML-Crate

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ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Toxic Comment Analysis :red_circle: Aim : This project will analyze the toxic comments. :red_circle: Dataset : https://www.kaggle.com/devkhant24/toxic-comment :red_circle: Approach : Try to use 3-4 algorithms 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.

Hello, ML-Crate contributors, this issue is only for the contribution purposes and allocated only to the participants of SWOC 2.0 Open Source Program and JWOC '22 Open Source Program.

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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:red_circle::yellow_circle: Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.
• This issue is only for 'SWOC' and 'JWOC' contributors of 'ML-Crate' project.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Participant ID :
• Approach for this Project :
• What is your participant role?
  • [ ] SWOC 2.0 Participant.
  • [ ] JWOC 2022 Participant.
  • [ ] Contributor

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

I want to work on this issue under JWOC

Follow the issue guidelines and mention all the required details properly before taking the issue @nishtha2405

Nishtha Pandey https://github.com/nishtha2405 Few of the approaches for the project are implemented using simple lists, Logistic Regression, Naive bayes and CNN. JWOC 2022 Participant

Issue assigned to you @nishtha2405

What's the update here @nishtha2405

working on it

I am unable to solve this issue, please assign it to someone else and I would like to work on other issues

Okay! @nishtha2405

Hello I would like to work on this project. Please assign it to me Full name : Khan Sumaiya SaifulAli GitHub Profile Link : https://github.com/KhanSumaiyaS Participant ID (If not, then put NA) : NA Approach for this Project : I would first perform constants defining, cleaning the comments, balancing the dataset and defining keras Model with GRU units. Then tokenizing the comments from train dataset and predicting accuracy score of comment id. What is your participant role? - Contributor

Issue assigned to you @KhanSumaiyaS

Issue has been un-assigned from you due to inactivity. @KhanSumaiyaS

Hi, I would like to contribute to this under KWOC ' 23 Full Name - Aryan Mishra Github Profile Link - https://github.com/Aryanmartinian Participant Role - Contributor (KWOC '23) Participant ID - NA Approach - First I will apply EDA on the dataset then using text classification i will make a machine learning model to predict the toxicity in the above given dataset.

Issue assigned to you @Aryanmartinian

@CoderOMaster can you please share your approach?

@CoderOMaster please mention the details as per the given template. It will be better for me to assign issues, otherwise I need to ask you each and every time about the open source event. As this project repo is part of two different open source events, it will be better to use the template and put your comment.

Assigned under JWOC @CoderOMaster