First download the git cli

Application url: HSimpleFlaskApp

To Start Machine Learning project follow the below steps.

Software and account Requirement.

1. [Github Account]
2. [Heroku Account]
3. [VS Code IDE]
4. [GIT cli]
5. [GIT Documentation]
6. [IpynKernel]
7. [Anaconda]
8. [Docker]

Create conda virtual environment

conda create -p venv python==3.11.5 -y

conda activate venv/

Install the necessary packages and libraries

pip install -r requirements.txt

Adding files to git

git add .

OR

git add <file_name>

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/changes to github

git push origin main

To check remote url

git remote -v

To setup CI/CD pipeline in heroku the following 3 information is needed

1. HEROKU_EMAIL
2. HEROKU_API_KEY
3. HEROKU_APP_NAME

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 f8c749e73678

To check running container in docker

docker ps

Tos stop docker conatiner

docker stop <container_id>

python setup.py install

Install ipykernel

pip install ipykernel

Data Drift: When your datset stats gets change we call it as data drift