Time Series Model on Counter Strike Market Sale Dataset

[arpy8]

Deep Learning Simplified Repository (Proposing new issue)

🔴 Project Title : Time Series Model on Counter Strike Market Sale Dataset
🔴 Aim : To develop a time series model based on the counter strike market sale dataset
🔴 Dataset : https://www.kaggle.com/datasets/kieranpoc/counter-strike-market-sale-data
🔴 Approach : Planning to test 3 time series model on this dataset

• Auto-Regressive Integrated Moving Average (ARIMA)
• Seasonal Auto-Regressive Integrated Moving Average (SARIMA)
• Auto Regressive (AR)

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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 : Arpit Sengar
• GitHub Profile Link : arpy8
• Email ID : [email protected]
• Approach for this Project : Planning to test 3 time series model on this dataset
  • Auto-Regressive Integrated Moving Average (ARIMA)
  • Seasonal Auto-Regressive Integrated Moving Average (SARIMA)
  • Auto Regressive (AR)
• What is your participant role? GSSOC

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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! 😊

[abhisheks008]

Assigned @arpy8

[aygarg02]

i also want to work on this project

[abhisheks008]

Can you please share your approach for this problem statement?