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This repository focuses on building Time Series Model (Recurrent Neural Network- LSTM) to predict the stock price of the Apple.Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction problems that involves time series related events

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krishcy25/TimeSeriesModeling-Apple-Stock-Prediction

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TimeSeriesModeling-Apple-Stock-Prediction

This repository focuses on building Time Series Models (Recurrent Neural Networks-LSTM) to predict the Apple Stock. Model used train_data (apple_stock_complete_data) that contains history of apple stock from 1980's up untill June 2020. Jul 2020 Apple Stock data is used for validation.

You can find the code in the Notebook "TimeSeriesModeling_RNN(LSTM).ipynb". The data files used in the code to train/validate the model is included in the repository.

lstmLayer-1024x503

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This repository focuses on building Time Series Model (Recurrent Neural Network- LSTM) to predict the stock price of the Apple.Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction problems that involves time series related events

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