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https://github.com/zeeshanahmad4/stock-prices-prediction-ml-flask-dashboard
This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.
https://github.com/zeeshanahmad4/stock-prices-prediction-ml-flask-dashboard
classification data-mining data-science data-visualization dataset flask flask-dashboard linear-regression ml prediction prediction-algorithm prediction-model predictive-analytics python stock-analysis stock-market stock-prices stock-prices-prediction stock-trading visualization
Last synced: 9 days ago
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This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.
- Host: GitHub
- URL: https://github.com/zeeshanahmad4/stock-prices-prediction-ml-flask-dashboard
- Owner: Zeeshanahmad4
- Created: 2019-11-29T04:25:19.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2024-08-25T23:01:12.000Z (4 months ago)
- Last Synced: 2024-08-26T00:30:07.981Z (4 months ago)
- Topics: classification, data-mining, data-science, data-visualization, dataset, flask, flask-dashboard, linear-regression, ml, prediction, prediction-algorithm, prediction-model, predictive-analytics, python, stock-analysis, stock-market, stock-prices, stock-prices-prediction, stock-trading, visualization
- Homepage:
- Size: 8.94 MB
- Stars: 42
- Watchers: 3
- Forks: 22
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Stock-Prices-Prediction-ML-Flask-Dashboard
Stock Prices Prediction ML with Flask Dashboard
## Table of Contents
* [About the Project](#about-the-project).
* [Built With](#built-with)
* [Getting Started](#getting-started)
* [Prerequisites](#prerequisites)
* [Installation](#installation)
* [Usage](#usage)
* [Roadmap](#roadmap)
* [Contributing](#contributing)
* [License](#license)
* [Contact](#contact)
## About The Project
## Demo
## Code
## Dashbord
## Prediction result
## Models evaluation
### Built With
* [Python](https://www.python.org/)
* [matplotlib](https://www.python.org/)
* [sklearn](https://www.python.org/)
* [flask](https://www.python.org/)
## Models and algorithums
```
├── SVR
├── linear_regression
├── random_forests
├── keras
├── KNN
├── decision_trees
├── elastic_net
├── LSTM_model
```
### Prerequisites
### Installation
1. Clone the repo
```sh
git clone https://github.com/Zeeshanahmad4/Stock-Prices-Prediction-ML-Flask-Dashboard.git
```
2. Install python packages
```sh
pip install matplotlib
pip install sklearn
pip install flask
pip install KNN
```
## Usage
This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression.
Importing flask module in the project is mandatory
An object of Flask class is our WSGI application.
## Contents
```
├── app.py
├── GOOG_30_days.csv
├── train_models.py
├── utils.py
├── GOOG_30_days.csv
```
## Roadmap
See the [open issues](https://github.com/Zeeshanahmad4/Stock-Prices-Prediction-ML-Flask-Dashboard/issues) for a list of proposed features (and known issues).
## Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request