Skip to content

Time Series Forecasting using Recurrent Neural Network - LSTM model using Keras Library for deep learning.

Notifications You must be signed in to change notification settings

royxss/RNN-LSTM-TimeSeries_Forecasting

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 

Repository files navigation

RNN-LSTM-TimeSeries_Forecasting

Time Series Forecasting using Recurrent Neural Network - LSTM model using Keras Library for deep learning.

Description: Time Series Forecasting using Recurrent Neural Network - LSTM model using Keras Library for deep learning. The technique used is sliding window where a window is moved over prices every timestep to capture the trends. The concept is widely used in commodity and stock trading. Note: The code is currenlty suffering from overfitting problem and will be re-patched

About

Time Series Forecasting using Recurrent Neural Network - LSTM model using Keras Library for deep learning.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages