Chocolate Classification and Prediction

[abhisheks008]

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Chocolate Classification and Prediction :red_circle: Aim : Classify the varieties of the chocolates and predict them accordingly. :red_circle: Dataset : https://www.kaggle.com/datasets/siddharthmandgi/chocolate-classification :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. 😎

[Gokul-Gopalakrishnan]

Full name : Gokul Gopalakrishnan GitHub Profile Link : https://github.com/Gokul-Gopalakrishnan Participant ID (If not, then put NA) : NA Approach for this Project : I will do a comparative study of various classification algorithms along with approach of Neural Networks to test the accuracy of both.

[abhisheks008]

Try to use as much algorithms/models as you can, it'll be better for you to compare them and understand the best fitted one.

Issue assigned to you @Gokul-Gopalakrishnan

[Gokul-Gopalakrishnan]

Sure @abhisheks008, looking forward to it.

[abhisheks008]

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

[PranjalRkgp]

Full name : Pranjal Rathore GitHub Profile Link : https://github.com/PranjalRkgp Participant ID :NA Approach for this Project: I will try using CNN algorithm for this. What is your participant role? : KWOC

[abhisheks008]

Issue assigned to you @PranjalRkgp