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Enhancing Time Analysis for SBI Stock Price Prediction #6

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murtaza-sadri-19 opened this issue Oct 1, 2024 · 1 comment
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gssoc-ext GSSoC'24 Extended Version hacktoberfest-accepted Hacktoberfest 2024 level2 25 Points 🥈(GSSoC)

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@murtaza-sadri-19
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Hi @rohitinu6 ,
I went through your project and found that while the existing Jupyter Notebook provides a solid foundation for predicting SBI stock prices. I propose improvements to the Jupyter Notebook to better capture temporal patterns in the dataset, leading to more accurate stock price predictions. Consider time series decomposition, stationarity testing, feature engineering, and advanced models.

@rohitinu6 rohitinu6 added gssoc-ext gssoc-ext GSSoC'24 Extended Version hacktoberfest-accepted Hacktoberfest 2024 level2 25 Points 🥈(GSSoC) and removed gssoc-ext labels Oct 3, 2024
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✅ This issue has been successfully closed. Thank you for your contribution and helping us improve the project! If you have any more ideas or run into other issues, feel free to open a new one. Happy coding! 🚀

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gssoc-ext GSSoC'24 Extended Version hacktoberfest-accepted Hacktoberfest 2024 level2 25 Points 🥈(GSSoC)
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