ML web application

Predictive model with fastapi that accepts a .csv dataset. Tools: Tensorflow - Keras - Numpy - Pandas - FastApi - scikit-learn

Accuracy predict MLP 70%

Tests, deployment, MLP in progress

Requirmentes

• Python 3.9+
• FastAPI
• Uvicorn
• Docker

Installation

1. Repository cloning: git clone https://github.com/Hallexz/Predict-models.git
2. Go to the project directory: cd Predict-models
3. Installing dependencies: pip install -r requirements.txt

Launching the application

1. Starting the server: uvicorn src.web_app:app --reload
2. Open in browser: uvicorn app.app:app --host 0.0.0.0 --port 8080

Docker:

1. docker build -t ml-app .
2. docker run -p 80:80 ml-app