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COS30018-Intelligent-Systems-Project-B

1. Prepare Environment

Clone the repo and open a cli in the directory, ensure Python and Pip are installed then create a python virtual environment:

python -m venv venv

To use the venv, it must be sourced

# Windows
venv\Scripts\activate
# Linux
source venv/bin/activate

Then install the requirement libraries with:

pip install -r requirements.txt

2. Running the Model

Running the model in a CLI can be done but without a graphical interface, the final graph will not be displayed. To display the graph, run it in an enviroment with graphics drivers installed and a GUI. To run the model, run the following command:

python stock_prediction.py

The model will then run and output various information to the console. The final graph will be displayed in a new window.

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Project B Lucas Berry

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