Building a Continuous System using Machine Learning and DevOps

Why 60% of Machine Learning Projects are never implemented?

Part 1 : Setting up Dockerfile for creating Docker Image for Machine Learning

Part 2 : GitHub Setup

mkdir ml_code/

cd ml_code/

vim nn.py # you can use notepad or any other text editor
git init                                

git add *

git commit -m "CNN"

git remote add origin https://github.com/satyamcs1999/MLOps.git

git push -u origin master
vim post-commit

#!/bin/bash

git push

Part 3 : Jenkins Jobs

./ngrok http 8080
Setting up Public URL using ngrok
Addition of Webhook
Job 1
Job 2
Job 3 : Part 1
Job 3 : Part 2

[Update]:

git branch -M main