Machine_Learning_Project

Machine learning project started with MLOps and Deployment

Software and account Requirement.

1. Github Account
2. Heroku Account
3. VS Code IDE
4. GIT cli
5. GIT Documentation

Creating conda environment

conda create -p <env_name> python==3.9 -y

conda activate venv/

pip install -r requirements.txt

OR

pip install -r D:\Bhushan_Thorat\AI_ML\MLFlow\Cost_Prediction_New\Machine_Learning_Project\requiremets.txt

cd Machine_Learning_Project             #Used for setting current directory

Git Commands

git init                                #To Initialize a Git repository
git status                              #Helps to show untracked files (status)
git add.                                #Helps to add all untacked and modified files (.gitignore files not included)
git log                                 #To track versions
git commit -m "Description"             #Used to commit chnages on gitHub
<<<<<<< HEAD
git push origin main                    #To send version/changes to git hub
git remote -v                           #To get url of repo you are working in

To setup CI/CD Pipeline in heroku we need three information

1) Heroku mail.
2) Heroku API Key.
3) Heroku App Name.

Building docker Image

docker build -t my-flask-app .

    docker build — starts the build process.
    -t your-image-name — tags (names) the image for easier reference later.(name need to be in small letters always)
    . tells Docker to use the current directory as the build context (where your Dockerfile and app files are).