Kunaal Naik YouTube Channel Analysis

[abhisheks008]

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Kunaal Naik YouTube Channel Analysis :red_circle: Aim : Analyse the different aspects of the YouTube channel. :red_circle: Dataset : https://www.kaggle.com/datasets/funxexcel/data-science-with-kunaal-naik-youtube-channel-data :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.

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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 (If not, then put NA) :
• Approach for this Project :
• What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.)

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Happy Contributing 🚀

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

[PiyushBL45t]

Hey, @abhisheks008 I would like to work on this issue.

Name: Piyush Bhujbal GitHub link: https://www.github.com/PiyushBL45t Participant ID: N/A

Approach for this project: The first thing to do is to perform a data cleaning and preprocessing activity. Then observe and get the general information for visualization of several parameters. After that, I shall extract the useful parameters and then try to give useful results on the issue.

Participant Role: HSoC participant

[abhisheks008]

Once your PR got approved this issue will be assigned to you @PiyushBL45t, check your last PR

[abhisheks008]

Issue assigned to you @PiyushBL45t