septa97 / pure-ML

Sefl-implemented machine learning algorithms (with a little help from NumPy) for learning purposes

pure-ML

Self-implemented machine learning algorithms with a little help from NumPy.

Running the code

• Clone the repository
• Install Python 3.6+
• Create a virtual environment

python -m venv venv

• Activate the virtual environment

source venv/bin/activate

• Install the packages from requirements.txt

pip install -r requirements.txt

• Run an example model

python pureML/supervised_learning/regression/multivariate_regression.py