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In this project, I have trained a Linear Regression Machine Learning model that predicts any stock price and I have also created the desktop application and flask-based API for the same. This project is created during my summer training (Machine Learning) at CETPA PVT LTD Lucknow.

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stock_prediction

In this project, I have trained a Linear Regression Machine Learning model that predicts any stock price and I have also created the desktop application and flask-based API for the same.

How to run Flask API -

1.Use the package manager pip to install all python packages on your system which is listed in requirements.txt file.

2.Open cmd or terminal

3.Go to file location were main.py is located

4.Run the command python main.py

5.Open your browser and open url http://127.0.0.1:5000/[stock_name]/[split_size]/[days]

Demo -

API DEMO

How to run Desktop Application -

  1. Use the package manager pip to install all python packages on your system which is listed in requirements.txt file.

  2. Double click on GUI.py file.

Demo -

Desktop Apllication DEMO

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In this project, I have trained a Linear Regression Machine Learning model that predicts any stock price and I have also created the desktop application and flask-based API for the same. This project is created during my summer training (Machine Learning) at CETPA PVT LTD Lucknow.

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