https://github.com/thtuanlegithub/ssiprediction

https://github.com/thtuanlegithub/ssiprediction

Last synced: 10 days ago
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• Host: GitHub
• URL: https://github.com/thtuanlegithub/ssiprediction
• Owner: thtuanlegithub
• Created: 2024-01-24T09:21:11.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2024-02-24T13:40:57.000Z (11 months ago)
• Last Synced: 2024-11-14T11:26:07.590Z (2 months ago)
• Language: Jupyter Notebook
• Size: 1.07 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Stock Price Prediction using Deep Learning Models (GRU, LMTS) with PySpark and Kafka Streaming

## Introduction

This project aims to predict stock prices using historical data and two deep learning models: Gated Recurrent Unit (GRU) and Long Short-Term Memory with attention mechanism (LMTS). Additionally, the project implements streaming capabilities using PySpark and Kafka.

## Features

- Utilizes historical stock price data for training and testing.

- Implements GRU and LMTS deep learning models for prediction.

- Integrates PySpark for distributed data processing.

- Utilizes Kafka for real-time data streaming.