GitHub / JoAmps / Lead_conversion_prediction_for_a_mobile_app_company
Predicting if a lead would convert on an app, deployed using fastapi, with streamlit as frontend via CI/CD using GitHub Actions, and containerised using Docker
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JoAmps%2FLead_conversion_prediction_for_a_mobile_app_company
PURL: pkg:github/JoAmps/Lead_conversion_prediction_for_a_mobile_app_company
Stars: 2
Forks: 1
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 51 MB
Dependencies parsed at: Pending
Created at: about 3 years ago
Updated at: over 2 years ago
Pushed at: about 3 years ago
Last synced at: about 2 years ago
Topics: cicd, data-science, deployment, docker, experiment-tracking, explainability, fastapi, machine-learning, monitoring, random-forest, streamlit, unit-testing, wandb