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# Stock Price Forecasting with ARIMA and LSTM
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This repository contains a Python script for time-series forecasting of stock prices using both a traditional statistical model (ARIMA) and a deep learning model (LSTM). The models are trained and evaluated on the "Time Series Forecasting with Yahoo Stock Price" dataset, and their performance is compared.
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```bash
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python stock_forecasting.py
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```
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---
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pipeline_tag: time-series-forecasting
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---
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## Output
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```
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![Stock Price Forecasting - ARIMA vs LSTM]
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---
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library_name: tensorflow
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tags:
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- time-series-forecasting
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- stock-forecasting
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inference: true
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pipeline_tag: time-series-forecasting
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license: apache-2.0
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---
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# Stock Price Forecasting with ARIMA and LSTM
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This repository contains a Python script for time-series forecasting of stock prices using both a traditional statistical model (ARIMA) and a deep learning model (LSTM). The models are trained and evaluated on the "Time Series Forecasting with Yahoo Stock Price" dataset, and their performance is compared.
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```bash
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python stock_forecasting.py
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```
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## Output
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```
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![Stock Price Forecasting - ARIMA vs LSTM]
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