Skip to content

Latest commit

 

History

History
8 lines (6 loc) · 559 Bytes

README.md

File metadata and controls

8 lines (6 loc) · 559 Bytes
Raw

LSTM Forecasting

Overview

This repository contains one IPYNB (Jupyter Notebook) file implementing a LSTM (Long Short-Term Memory) model for time-series forecasting. The model uses Keras for forecasting past data.

Files

  • LSTM-past.ipynb: This notebook has the LSTM model for forecasting past data. It includes data preprocessing, model training, evaluation, and visualization of results.

  • env.py: This file serves as a template; fill in with your credentials. You can also set up your API ID/secret in bash or advanced system settings.