OthmanMohammad/ChurnPrediction-E2E-ML-Pipeline
This project is an end-to-end machine learning pipeline with a focus on efficient model deployment using Flask API, Docker, and Amazon EC2. The modular architecture ensures seamless integration and a consistent experience across environments. A CI/CD pipeline with GitHub Actions streamlines development and deployment.
jhustles/bloomstrade
Developed a stock trading web app using Python, Flask, SQLite3, Jinja, Bootsrap4, and HTML. This app enables users register and trade stocks with play money, and also tracks your portfolio balance and history. Data is provided by IEXCLOUD.IO API (https://iexcloud.io/)
OthmanMohammad/ChurnPrediction-E2E-ML-Pipelinejhustles/bloomstrade
Project
Python@LanguagePython
Flask FrameworkFlask
1 Stars9
0 Forks3
APIsCategoryAPIs
Finance APIsSub CategoryFinance APIs
2023-04-20Pushed at2020-10-22
MIT LicenseLicenseMIT License