# PyMine
**Educational, Explainable, and Pure-Python Data Mining Library**
---
### 📘 Description
**PyMine** is a lightweight, dependency-free Python library built for learning, teaching, and exploring core data mining algorithms. Developed entirely from scratch using pure Python, PyMine prioritizes **transparency**, **explainability**, and **educational clarity** — making it a perfect fit for students, educators, and enthusiasts who want to understand *how* algorithms work under the hood.
---
### ⚙️ Features
- 📊 **Classification**: Decision Tree, Naive Bayes, Logistic Regression, K-Nearest Neighbors
- 🔍 **Clustering**: K-Means, DBSCAN, Hierarchical Clustering
- 🔁 **Association Rule Mining**: Apriori algorithm with support thresholds
- ⚠️ **Anomaly Detection**: Z-Score, Local Outlier Factor
- 🛠 **Preprocessing**: Scalers, Imputers, Label and One-Hot Encoders
- 📏 **Evaluation Metrics**: Accuracy, Precision, Recall, F1, Confusion Matrix, Silhouette Score
- 💬 **Explainability**: All models support `.explain()` and "what-if" transformation introspection
- 🔬 **No Dependencies**: Pure Python. No NumPy, pandas, or scikit-learn required
---
### 📦 Installation
```bash
pip install pymine-fashjr
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