stockGod

stockGod is a school project that we are making, it uses Linear Regression as a model algorithm and Google's Stock Price as its Dataset.

to run it on your machine follow this steps.

1. Install python and anacoda

• Python
• Anaconda

2. Install dependencies

• create environment activate your environment

conda create --name yourEnvName
conda activate yourEnvName

• install pandas, scikit-learn, matplotlib, pyqt5 and pickle

conda install pandas
conda insta scikit-learn
pip install matplotlib
pip install pyqt5
pip install pickle

3. run it on your machine

run app.py file with your python interpreter

Bundling into executable

make sure your environment is activated

1. install pyinstaller

pip install pyinstaller

2. create package folder named 'package' move app.py, StockGod.py and trained_model.pkl into it. it is not necessary but to make your repo clean and not to track that huge executable file you gonna create, you better not skip this step
3. change your terminal directory and run the following commands

pyinstaller --name=G-Stock --onefile app.py

4. Edit the spec file only hiddenimports list like the following

a = Analysis(['app.py'],
             hiddenimports=['sklearn', 'pickle', 'pandas', 'matplotlib', 'PyQt5'])

5. run this command on your current terminal

pyinstaller G-Stock.spec

after the command finish executing you will have your executable file in /dist file in your package folder.

Enjoy Using It If it works, BTW it works on my machine 😜 you get it.