GitHub - Isudipsubedi/ArtiFynance: For the 4th-semester project titled Artifynance, an LSTM model was implemented to analyze and predict the price of NEPSE stocks. By using historical stock data over several years, the project applied various preprocessing techniques, such as scaling and time-series analysis, to train the LSTM model and forecast future stock prices based on learned

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For the 4th-semester project titled Artifynance, an LSTM model was implemented to analyze and predict the price of NEPSE stocks. By using historical stock data over several years, the project applied various preprocessing techniques, such as scaling and time-series analysis, to train the LSTM model and forecast future stock prices based on learned