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hey @UTSAVS26
I would like to contribute by adding a time series analysis model for stock prediction as most the models found on internet use LSTM or other regression models and do not take the day of exchange into account . This model by taking date and dividing it into day, month and year along with lags. A dataset found on internet was upgraded to support time series analysis and a ARIMA model is trained on it.
Full Name
Darsh Agrawal
Participant Role
GSSOC
The text was updated successfully, but these errors were encountered:
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Latest Merged PR Link
UTSAVS26/PySnippets#42
Project Description
hey @UTSAVS26
I would like to contribute by adding a time series analysis model for stock prediction as most the models found on internet use LSTM or other regression models and do not take the day of exchange into account . This model by taking date and dividing it into day, month and year along with lags. A dataset found on internet was upgraded to support time series analysis and a ARIMA model is trained on it.
Full Name
Darsh Agrawal
Participant Role
GSSOC
The text was updated successfully, but these errors were encountered: