udacity_ml_engineer_nano

d88w

[SageMaker] [xgboost] training and deploying ML models on Amazon SageMaker

deploy

View on GitHub

1 Stars

0 Forks

1 Watchers

Jupyter Notebook Language

Cost to Build

$1.4K

Market Value

$500

How is this calculated?

Growth over time

6 data points · 2021-08-01 → 2023-03-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about udacity_ml_engineer_nano

Question copied to clipboard

What is the d88w/udacity_ml_engineer_nano GitHub project? Description: "[SageMaker] [xgboost] training and deploying ML models on Amazon SageMaker". 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 udacity_ml_engineer_nano

Clone via HTTPS

git clone https://github.com/d88w/udacity_ml_engineer_nano.git

Clone via SSH

[email protected]:d88w/udacity_ml_engineer_nano.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the udacity_ml_engineer_nano issue tracker:

Open GitHub Issues

Similar to udacity_ml_engineer_nano

pm2 shipit git-ftp webhook flightplan deploy wordmove meteor-up OpsManage deployer easy-deploy-bundle s3deploy fabricio JazminServer stage-ci git-deploy pulsar droot Flock now-pipeline deploy.now git-auto-deploy pm86 laravel-deploy-helper Idephix butter ipa-server the_forge web-deploy laravel-initializer