GitHub / IlijaMihajlovic / Amazon-Stock-Price-Forecasting-Using-LSTM-Neural-Networks
This project aims to forecast Amazon's stock prices using Long Short-Term Memory (LSTM) neural networks, implemented with PyTorch and scikit-learn.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IlijaMihajlovic%2FAmazon-Stock-Price-Forecasting-Using-LSTM-Neural-Networks
PURL: pkg:github/IlijaMihajlovic/Amazon-Stock-Price-Forecasting-Using-LSTM-Neural-Networks
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 406 KB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago
Topics: ai, artficial-intelligence, deep-learning, lstm-neural-networks, machine-learning, neural-network, neural-networks, pandas, python, sckit-learn, stock-price-prediction