MachineWolf

A machine learning project built with Python and VS Code.

Inspired by Etienne Bernards Introduction to Machine Learning

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Project Structure

📂 machinewolf/
├── 📂 env/     # Virtual environment
├── 📂 data/    # Raw or processed datasets
├── 📂 models/  # Saved models
├── 📂 src/     # Python scripts
│ ├── main.py           # Main entry point for the program
│ ├── preprocessing.py  # Data cleaning/preprocessing scripts
│ └── model.py          # ML model definition
├── requirements.txt    # List of dependencies
└── README.md           # Project description and setup instructions

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Installation and Setup

Prerequisites

• Python 3.9 or higher
• Git
• VS Code

Clone the Repository

git clone https://github.com/BongoSort/machinewolf.git

Create a Virtual Environment

cd machinewolf

python -m venv env

Activate the Environment

# On Windows:
.\env\Scripts\activate

# On macOS/Linux:
source env/bin/activate

Install Dependencies

pip install -r requirements.txt