Machine_Learning_Project

Software and Account Requirements.

1. Github Account
2. Heroku Account
3. VS code IDE
4. GIT CLI
5. GIT Documentation

Create a conda environment

conda create -p venv python==3.7 -y

conda activate venv/

pip install -r requirements.txt

To Add files to git

git add .

OR

git add <file_name>

Note: To ignore file or folder from git we can write name of file/folder in .gitignore file

To check the git status

git status

To check all version maintained by git

git log

To create version/commit all changes by git

git commit -m "message"

To send version chnages to github

git push origin main

To check remote url

git remote -v

To setup CI/CD pipeline in heroku we need 5 information

1. HEROKU_EMAIL= <>
2. HEROKU_API_KEY= <>
3. HEROKU_APP_NAME = mlproject1st-reg

BUILD DOCKER IMAGE

docker build -t <image_name>:<tagname> .

Note: Image name for docker must be lowercase

To list docker image

docker images

Run docker image

docker run -p 5000:5000 -e PORT=5000 <img id>

To check running container in docker

docker ps

To stop dokcker container

docker stop <container_id>

To setup project run

python setup.py install