Welcome to Diabetes_ML 👋

Diabetes_ML

Bulding model with data set pima-indians-diabetes

Outbuildings

1. pandas
2. numpy
3. Matplotlib
4. scikit-learn
    4.1. LogisticRegression
    4.2. KNeighborsClassifier
    4.3. GaussianNB
    4.4. SVC
    4.5. LinearSVC
    4.6. RandomForestClassifier
    4.7. DecisionTreeRegressor
5. Backend: Flask
6. Frontend: Vanilla Javascript

Install

git clone https://github.com/AlfonsoBallesteros/Diabetes_ML.git

Usage

python diabetes_predictor.py
open index.html

Architecture Proyect

.
├── Backend
├── Builder
│   └── diabetes_predictor.ipynb
├── Dataset
│   ├── datos.csv
│   └── pima-indians-diabetes.csv
├── diabetes_predictor.py
├── Frontend
│   └── index.html
├── LICENSE
├── Models
│   ├── diabetes.model
│   └── scaler.scaler
├── README.md
├── readme.txt
└── Training
    ├── DataFrame.ipynb
    ├── diabetes_model_builder.ipynb
    └── output.png

Architecture API

{ "NumTimesPrg": 1,
    "PlGlcConc": 85,
    "BloodP": 66,
    "SkinThick": 29,
    "TwoHourSerIns": 0,
    "BMI": 26.6,
    "DiPedFunc": 0.351,
    "Age": 31
}

Author

👤 Alfonso Ballesteros

• Twitter: @alfonsoballest4
• Github: @AlfonsoBallesteros

🤝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

Show your support

Give a ⭐️ if this project helped you!

📝 License

Copyright © 2019 Alfonso Ballesteros.
This project is MIT licensed.

Expressions of Gratitude 🎁

• Tell others about this project 📢
• Invite a beer 🍺 to someone on the team.
• You give the thanks publicly 🤓.