AB_Testing_Flask_Nginx_DockerCompose

In this project, we deploy Machine Learning Models A (Logistic Regression) and B (Random Forest) to a simple Flask-based API behind an Nginx Reverse Proxy that routes traffic 50/50 to each model, simulating A/B testing.

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1 Stars

0 Forks

1 Watchers

Python Language

45.1 SrcLog Score

Cost to Build

$1.0K

Market Value

$500

How is this calculated?

Growth over time

2 data points · 2026-04-11 → 2026-04-25

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What is the iQuantC/AB_Testing_Flask_Nginx_DockerCompose GitHub project? Description: "In this project, we deploy Machine Learning Models A (Logistic Regression) and B (Random Forest) to a simple Flask-based API behind an Nginx Reverse Proxy that routes traffic 50/50 to each model, simulating A/B testing.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone AB_Testing_Flask_Nginx_DockerCompose

Clone via HTTPS

git clone https://github.com/iQuantC/AB_Testing_Flask_Nginx_DockerCompose.git

Clone via SSH

[email protected]:iQuantC/AB_Testing_Flask_Nginx_DockerCompose.git

Download ZIP

Download master.zip

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