ml-serving-showcase

gershonc

Implementation of an ML Model Serving with Flask, the model is LGBM trained on Kaggle titanic data.

production

View on GitHub

2 Stars

0 Forks

2 Watchers

Jupyter Notebook Language

mit License

Cost to Build

$1.1K

Market Value

$500

How is this calculated?

Growth over time

6 data points · 2021-11-01 → 2025-08-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about ml-serving-showcase

Question copied to clipboard

What is the gershonc/ml-serving-showcase GitHub project? Description: "Implementation of an ML Model Serving with Flask, the model is LGBM trained on Kaggle titanic data. ". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone ml-serving-showcase

Clone via HTTPS

git clone https://github.com/gershonc/ml-serving-showcase.git

Clone via SSH

[email protected]:gershonc/ml-serving-showcase.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the ml-serving-showcase issue tracker:

Open GitHub Issues

Similar to ml-serving-showcase

pm2 dgraph awesome-sre checklist-going-live suite btcrelay awesome-linuxaudio redux-remotedev production-data-science Ableton-Live-tools keras-serving elm-companies bitnami-docker-node reactnative-android-production PredictionAPI rest-api-node-typescript go-production-checklist chomp-decomposition production_ml ToDoList laravel-conditional-providers pug-symfony Deep-Learning-in-Production wasserstoff React.ai epic stetho-no-op dotenv-flow drupalvm-live Angular4-Node-Mongo-Starter