The core libraries used across projects include but are not limited to:
- Python 3.8+
- NumPy
- Pandas
- Scikit-learn
- TensorFlow / PyTorch
- Matplotlib / Seaborn
- Jupyter Notebook
The goal is to showcase a practical approach to building, training, and evaluating a logistic regression model using Python and popular machine learning libraries like Scikit-learn.