https://github.com/farheenb/google-stock-price-trend-prediction-in-python
Predicting the upward and downward trend of the Google Stock Price using LSTM Recurring Neural Network.
https://github.com/farheenb/google-stock-price-trend-prediction-in-python
Last synced: 3 months ago
JSON representation
Predicting the upward and downward trend of the Google Stock Price using LSTM Recurring Neural Network.
- Host: GitHub
- URL: https://github.com/farheenb/google-stock-price-trend-prediction-in-python
- Owner: FarheenB
- Created: 2020-04-20T14:50:25.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-03T17:59:02.000Z (over 5 years ago)
- Last Synced: 2025-03-06T13:21:50.162Z (7 months ago)
- Language: Jupyter Notebook
- Size: 838 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Google-Stock-Price-Trend-Prediction-in-Python
Predicting the upward and downward trend of the Google Stock Price using LSTM Recurring Neural Network.
* Trained a LSTM Model on five years(from 2012 to 2016) data of Google Stock Price and predict the Google stock price of the first month of 2017
* Used LSTM RNN algorithm with model accuracy of 90%