https://github.com/projects-developer/stock-price-prediction-project-using-machine-learning

The Stock Price Prediction project aims to develop a machine learning model that can predict future stock prices based on historical data Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/stock-price-prediction-project-using-machine-learning

artificial-intelligence computer-science-project data-science final-year-projects finalyearproject finalyearprojects financial-analysis machine-learning predictive-modeling stock-market-finance

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The Stock Price Prediction project aims to develop a machine learning model that can predict future stock prices based on historical data Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

• Host: GitHub
• URL: https://github.com/projects-developer/stock-price-prediction-project-using-machine-learning
• Owner: Projects-Developer
• Created: 2024-12-27T08:37:21.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2025-01-18T12:00:33.000Z (5 months ago)
• Last Synced: 2025-01-18T13:19:08.982Z (5 months ago)
• Topics: artificial-intelligence, computer-science-project, data-science, final-year-projects, finalyearproject, finalyearprojects, financial-analysis, machine-learning, predictive-modeling, stock-market-finance
• Homepage: https://www.finalproject.in/
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Stock Price Prediction Project Using Machine learning

The Stock Price Prediction Using Machine Learning Project With Code, Documents And video Tutorial

![Stock Price](https://github.com/user-attachments/assets/77ffc26e-07b4-4a28-b5d9-22e98a422265)

## Youtube: https://youtu.be/nh4BOMuaF_I?si=3qbQ26jI1jFJ20w0

## Abstract: 

This project presents a machine learning approach to predicting stock prices based on historical data. A combination of technical and economic indicators are used to train a range of machine learning models, including Linear Regression, Decision Trees, Random Forest, and LSTM Networks. The performance of each model is evaluated using metrics such as Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, and Coefficient of Determination. The results show that the LSTM Network model outperforms the other models in predicting stock prices. This project demonstrates the potential of machine learning in stock price prediction and provides a framework for further research and development.

Keywords: Stock price prediction, Machine learning, Technical indicators, Economic indicators, Linear Regression, Decision Trees, Random Forest, LSTM Networks

### Project include: 

1. Synopsis

2. PPT

3. Research Paper

4. Code

5. Explanation video

6. Documents

7. Report

### Need Code, Documents & Explanation video ? 

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