Stock Value Prediction Program

Overview:

This program, coded by Girish GH, attempts to predict stock values using various data analysis and machine learning techniques. It is designed for educational and informational purposes only and should not be considered a financial tool.

Disclaimer Important: -

This program is not a financial tool and is not intended for making financial decisions. - The author, Girish GH, is not a financial advisor. - Any similarities to financial advice or recommendations are purely coincidental. - Users should not rely on the results of this program for any investment purposes. - The author does not assume any responsibility for financial losses or gains resulting from the use of this program.

Purpose:

The purpose of this program is to serve as a source of inspiration and learning for those interested in data analysis, machine learning, and financial modeling. It is a demonstration of how one might approach the problem of predicting stock values using available data and statistical techniques.

Usage 1. Installation: -

1. Clone the repository: git clone <repository-url> - Navigate to the project directory: cd <project-directory> - Install the necessary dependencies: pip install -r requirements.txt
2. Running the Program: - Execute the main script: python model.ipynb - Follow the on-screen instructions to input the required data. Requirements: - Python 3.x - Necessary Python libraries as listed in requirements.txt

   Contributions Contributions are welcome.

   If you have any improvements or suggestions, please submit a pull request or open an issue on the GitHub repository.

   License This project is licensed under the terms of the Genie Open-Source License Agreement.

   By using this program, you agree to adhere to the conditions outlined in the license.

End of README