Poker Hand Prediction

[aviralgarg05]

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Poker Hand Prediction :red_circle: Aim : To Predict the Poker Hand :red_circle: Dataset : https://archive.ics.uci.edu/dataset/158/poker+hand :red_circle: Approach : 1. Data Pre-processing and classification 2. Visualization 3. Training and Modelling - DT, RF etc. 4. Metrics and Accuracy Scores

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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.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name : Aviral Garg
• GitHub Profile Link : https://github.com/aviralgarg05
• Participant ID (If not, then put NA) : NA
• Approach for this Project : 1. Data Pre-processing and classification 2. Visualization 3. Training and Modelling - DT, RF etc. 4. Metrics and Accuracy Scores
• What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.) SSOC Contributor

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Happy Contributing 🚀

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

[github-actions[bot]]

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

[abhisheks008]

One issue at a time.

[siddhant4ds]

@abhisheks008 If this issue is still available, I would like to work on it. I have closed my previous issue.

Full name: Siddhant Tiwari GitHub profile link: https://github.com/siddhant4ds Participant ID: sid4ds (Devfolio), sid4ds (Discord) Participant role: SSOC-3 Contributor Approach:

1. Exploratory data analysis
2. Feature engineering based on domain knowledge of cards and poker rules.
3. Spot-checking some algorithms such as Logistic Regression and Decision Trees for baseline performance.
4. Focus on Gradient-boosting models (XGBoost, CatBoost, LightGBM), since the dataset is fairly large with categorical features, and the problem is multi-class classification.

[abhisheks008]

@abhisheks008 If this issue is still available, I would like to work on it. I have closed my previous issue.

Full name: Siddhant Tiwari GitHub profile link: https://github.com/siddhant4ds Participant ID: sid4ds (Devfolio), sid4ds (Discord) Participant role: SSOC-3 Contributor Approach:

1. Exploratory data analysis
2. Feature engineering based on domain knowledge of cards and poker rules.
3. Spot-checking some algorithms such as Logistic Regression and Decision Trees for baseline performance.
4. Focus on Gradient-boosting models (XGBoost, CatBoost, LightGBM), since the dataset is fairly large with categorical features, and the problem is multi-class classification.

This issue is opened by another contributor, hence can't be assigned to you.

[siddhant4ds]

No problem. Will look for another one. Thanks.

[aviralgarg05]

Hey can you assign me this issue now...

[abhisheks008]

Hi @aviralgarg05 implement 6-7 models for this problem statement. Assigned this issue to you.