Project to deploy a machine learning model based on Titanic dataset from Kaggle

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Machine Learningkaggle_titanic_deploy
Overview

kaggle_titanic_deploy

Project to deploy a machine learning model based on Titanic dataset from Kaggle

In this project we used the Titanic dataset from Kaggle to build a simple Machine Learning Model and wrap it into a python application and run a FastAPI service to make real time predictions.

Prediction Service

The prediction service works as following: alt text

Run Locally

using docker:

docker build -t kaggle_titanic_deploy .
docker run -it -p 8000:8000 kaggle_titanic_deploy

without docker:

pipenv install
gunicorn predictor.api.app:app --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000

More info

Owner
Vivian Yamassaki
Apaixonada por trabalhar com Data Science, é co-embaixadora do WiDS (Women in Data Science) e co-organizadora do MIA (Mulheres em Inteligência Artificial).
Vivian Yamassaki
GitHub Repository
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