Comments (2)
Hey, I'd like to contribute. Please assign this task to me.
Also, could you specify which dataset to use?
from stock-prediction.
you can pick up any sample dataset to work upon or could use the web scrapped dataset provided in the starter notebook of project.
start and end date (i.e size of data to be taken is free to choose )
from stock-prediction.
Related Issues (9)
- Implementation of AutoRegressive Integrated Moving Average (ARIMA) for forecasting stock price
- Implementation of Generalized Autoregressive Conditional Heteroskedasticity (GARCH) for understanding the intricate dynamics of stock market
- Implementation of Long Short-Term Memory(LSTM) for future stock price prediction HOT 1
- Comparative Analysis for Open Source API's for real time stock data for personal projects. HOT 2
- Create a Stock Dashboard for Google stock price using Streamlit (python). HOT 2
- Create a Stock Dashboard for Apple stock price using Streamlit (python).
- EDA on top stocks of 2023. HOT 1
- LSTM model using Google's dataset
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from stock-prediction.