abhisheks008 / ML-Crate

ML-Crate stands as the ultimate hub for a multitude of exciting ML projects, serving as the go-to resource haven for passionate and dedicated ML enthusiasts!🌟💫 Devfolio URL, https://devfolio.co/projects/mlcrate-98f9
https://quine.sh/repo/abhisheks008-ML-Crate-409463050
MIT License
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Viral Shorts Videos Analysis #509

Closed abhisheks008 closed 3 months ago

abhisheks008 commented 8 months ago

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Viral Shorts Videos Analysis :red_circle: Aim : The aim of this project is to analyze the viral videos based on the given dataset. :red_circle: Dataset : https://www.kaggle.com/datasets/kanchana1990/viral-shorts-youtubes-most-viewed :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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All the best. Enjoy your open source journey ahead. 😎

Vidip-Ghosh commented 8 months ago

Can I work on this issue under JWOC 2.0?

abhisheks008 commented 8 months ago

Implement the following models for this project,

  1. Random forest
  2. Decision tree
  3. Logistic regression
  4. Lasso
  5. Ridge
  6. Gradient boosting
  7. XgBoost
  8. MLP

Check the accuracy scores of the deployed models and find out the best one based on the best accuracy score.

Are you able to do this? @Vidip-Ghosh

Vidip-Ghosh commented 8 months ago

Implement the following models for this project,

  1. Random forest
  2. Decision tree
  3. Logistic regression
  4. Lasso
  5. Ridge
  6. Gradient boosting
  7. XgBoost
  8. MLP

Check the accuracy scores of the deployed models and find out the best one based on the best accuracy score.

Are you able to do this? @Vidip-Ghosh

So do I need to implement using all the 8 models? I am only familiar with Random forest, Decision tree, Logistic regression.

abhisheks008 commented 8 months ago

Yeah you need to implement all the mentioned machine learning models. You can take your time, learn along with solving the issue. That would be a good hands-on experience I feel. Also you need to do some visualization/EDA before diving deep into the model.

Vidip-Ghosh commented 8 months ago

You can take your time, learn along with solving the issue.

Okay then. You can assign.

abhisheks008 commented 8 months ago

Issue assigned to you @Vidip-Ghosh

Vidip-Ghosh commented 8 months ago

Sorry for the delay as I have to study about other algorithms, will raise a PR as soon as it gets completed.

abhisheks008 commented 8 months ago

Cool. Thanks for the update.

abhisheks008 commented 7 months ago

Please do not remove the assignment without letting us know @Vidip-Ghosh. It creates confusion as the label marked as Assigned but no one is assigned in this issue.

HarshRaj29004 commented 4 months ago

Full name: Harsh Raj GitHub Profile Link: https://github.com/HarshRaj29004 Participant ID (If not, then put NA): NA Approach for this Project: I will preprocess Data to handle missing values and include required features. Then after finds relation between columns by visually encoding them basically a correlation analysis. Finally, will try to predict views based on likes and comments count. What is your participant role? SSOC

@abhisheks008 please assign this issue to me

abhisheks008 commented 4 months ago

Implement 5-6 models for this dataset.

Assigned @HarshRaj29004

HarshRaj29004 commented 4 months ago

Ok i will do it

github-actions[bot] commented 3 months ago

Hello @HarshRaj29004! Your issue #509 has been closed. Thank you for your contribution!