Stock Analysis

[aygarg02]

Deep Learning Simplified Repository (Proposing new issue)

🔴 Project Title :Stock analysis

🔴 Aim : this project provide the analysis of the provided stock like unseen pattern visualization etc

🔴 Dataset :depend on the given stock

🔴 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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🔴🟡 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 : Ayush garg
• GitHub Profile Link : https://github.com/aygarg02
• Email ID :[email protected]
• Participant ID (if applicable):
• Approach for this Project :ARIMA ,ACF, PCF ,RNN
• What is your participant role? (Mention the Open Source program)

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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]

What are deep learning models you are planning to use here for this problem statement?
@aygarg02

[aygarg02]

i decided to use some on the ML methods and from the Deep learning i will use the RNN and then will give the single output on the basis of the output from all the modes. and ML methods like ARIMA

[abhisheks008]

i decided to use some on the ML methods and from the Deep learning i will use the RNN and then will give the single output on the basis of the output from all the modes. and ML methods like ARIMA

It should be better if you focus on deep learning models only instead of machine learning models.

[aygarg02]

okk should i start ??

[abhisheks008]

okk should i start ??

What are the deep learning models you are planning to use for this problem statement? Can you please explain?