---
metadata:
  language: en
  library_name: scikit-learn
  tags:
    - classification
    - machine-learning
    - tabular-data
    - sklearn
    - healthcare
    - clinical-decision-support
  license: mit
  datasets:
    - Benchmark datasets
  model-type: multi-model-repository
  author: Thyagharajan K K
  pipeline_tag: tabular-classification
  inference: true
  flags:
    - cpu
    - allow_fork
    - allow_metrics
  emoji: 📊
  colorFrom: blue
  colorTo: indigo
---

# 🧠 KKT-ML-Models

This repository serves as a centralized suite of **machine learning models** developed and trained 
by Dr.K.K. Thyagharajan for research, experimentation, and deployment across multiple domains. 
The repository is organized **by application domain**, with each domain containing one or more 
trained models, preprocessing pipelines, and documentation.

The repository supports:
- Reproducible research
- Model reuse and deployment
- Separation of preprocessing and inference artifacts
- Compatibility with Hugging Face Spaces and APIs

## 🔍 Domains Covered
- Diabetes prediction (tabular clinical data)
- Additional healthcare and ML domains will be added incrementally
---

## 📂 Repository Structure
```text
KKT-ML-Models/
│
├── README.md
│
└── diabetic_models/
    │
    ├── README.md
    │
    ├── logistic_reg_diabetic.pkl
    │   (Baseline batch Logistic Regression model)
    │
    └── SGD_scaler_diabetic_models/
        │
        ├── README.md
        │
        ├── SGD_model.pkl
        │   (Final SGD-based logistic regression classifier)
        │
        └── SGD_scaler.pkl
            (Fitted StandardScaler used during training)
```
---

## 📦 Model Collections
Each subdirectory corresponds to a **domain-specific model collection**.
```
Models are released with:
- Serialized artifacts
- Explicit preprocessing components
- Clear inference documentation
- Licensing and citation metadata
```

---
## 🧰 Technology Stack

- Python ≥ 3.8
- scikit-learn
- numpy
- pandas
- joblib

---
## 📜 License
This repository is released under the MIT License.  
See the `LICENSE` file for full terms.

---
## 📖 Citation
If you use these models in academic work, please cite using the `CITATION.cff` file.

---
## 👨‍💻 Maintainer

**Dr. Thyagharajan K K**  
Professor & Dean (Research)  
RMD Engineering College  
📧 kkthyagharajan@yahoo.com