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ml_project1's Introduction

Start Machine Learning Project

Software and account requirement:

  1. Github Account: Github Account
  2. Heruko Account
  3. VS Code IDLE: (https://code.visualstudio.com/download)
  4. GIT cli: (https://git-scm.com/downloads)
  5. Git Tutorial

Creating conda Virtual Envirornament

 conda create -p venv python==3.7 -y
conda activate venv/
pip install -r requirement.txt

To add files to git

git add.

or

git add <file_name>

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

To check the git status

git status

To check all version maintined by git log

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 AWS BEANSTACK we need

  1. AWS_BEANSTALK_EMAIL = [email protected]
  2. AWS_API_KEY = Machinelearning-env.eba-7shizg7t.ap-northeast-1.elasticbeanstalk.com
  3. AWS_APP_NAME: Machine_Learning

BUILD DOCKER IMAGE

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

>Note:Image name for docker should be in lowercase

To list Docker images 

docker image

Run docker image

docker run -p 5000:5000 -e PORT=5000 eb45ab1ff5c6

TO Check running container in docker

docker ps

To Stop Docker Container

docker stop <container_id>
python setup.py install

Install ipykernel

pip install ipykernel

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