Social Media Recommendation by UI Interface Module

[ldneal]

ML-Crate Repository (Proposing new issue)

🔴 Project Title : Social Media Recommendation
🔴 Aim : To check social media user post like & comment
🔴 Dataset : UI Interface Moduel
🔴 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.

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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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🔴🟡 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.

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✅ To be Mentioned while taking the issue :

• Full name : Neal Gandhi
• GitHub Profile Link : https://github.com/ldneal
• Participant ID (If not, then put NA) : Contributor
• Approach for this Project : -
• What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.) SSOC

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Happy Contributing 🚀

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

[github-actions]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[ldneal]

Hi Sir I have work on this project & this is my best top project can you assign me in SSOC 3 as a contributor.

[abhisheks008]

You are planning to create a whole project based on machine learning techniques. Implement 5-6 models for this project, and find out the best fitted model for this project based on the accuracy score.

In addition to this, you are planning to implement a web app for the front end of the project.

Is this the whole thing you are planning?

@ldneal

[ldneal]

Yes Sir this is my best project in my top 10 datathrone event

[abhisheks008]

Yes Sir this is my best project in my top 10 datathrone event

Assigned @ldneal

Make sure you implement at least 5-6 models.

[ldneal]

Thank You Sir @abhisheks008