NeuroBase: a small educational machine learning library with classic models and metrics.
Project description
NeuroBase
NeuroBase is a lightweight educational machine-learning library written in pure Python and NumPy. It provides clear implementations of classic algorithms plus a small metrics and optimizer module.
Features
SimpleLinearRegression,MultipleLinearRegressionLogisticRegressionRidgeRegression,LassoRegressionDecisionTreeRegressorCustomKNNClassifierKMeansNew- Gradient boosting (experimental)
- Metrics: MSE, MAE, RMSE, R², adjusted R²
- Optimizers: batch and stochastic gradient descent
- Fully tested with
pytest
Installation (local dev)
git clone https://github.com/your-username/neurobase.git
cd neurobase
py -m venv .venv
.venv\Scripts\activate
pip install --upgrade pip
pip install -e . # editable install of neurobase
pip install pytest
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