Stock Price Prediction

The Stock price prediction is a Machine learning model based project which helps us to predict the future price of stocks.

Creating a well-structured README.md file is crucial for your project, as it helps users and collaborators understand your Stock Price Prediction using Machine Learning project. Below is a template you can use as a starting point. Be sure to customize it with your project-specific information.

Introduction
Prerequisites
Installation
Data
Model
Results
Contributing
License

Introduction

This project aims to predict stock prices using machine learning techniques. Predicting stock prices is a challenging task, and this project provides an example of how to approach it using various machine learning algorithms.

Key Features:

Data preprocessing and feature engineering.
Building and training stock price prediction models.
Visualizing and evaluating model performance.
Making predictions on future stock prices.

Prerequisites

Before you begin, ensure you have met the following requirements:

Python (3.6 or higher)
Visual Studio Code.

Installation

Clone this repository:

git clone https://github.com/Mitesh315/stock-price-prediction.git

Navigate to the project directory:
```
cd stock-price-prediction
```
Install the required Python packages:
```
pip install -r requirements.txt
```

Data

The data used for this project can be found in the data directory. The dataset contains historical stock price data for training and testing purposes. You can replace it with your own data if needed.

Model

We have implemented various machine learning models for stock price prediction, including:

Linear Regression
Decision Trees
Random Forest
XGBoost regressor

The model files and code can be found in the models directory.

Results

We have evaluated the models' performance using various metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). You can find the results in the results directory.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

Fork the repository on GitHub.
Clone the forked repository to your local machine.
Create a new branch for your feature/bugfix.
Make your changes and commit them.
Push the changes to your fork on GitHub.
Create a pull request to the original repository.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Feel free to add more details and documentation as needed for your specific project. A well-documented README.md file not only helps others understand your project but also encourages collaboration and contributions from the community.

the-shivam-gupta/stock-price-prediction