shoaib-alauudin / end-to-end-machine-learning-project-with-mlflow

End-to-End-Machine-Learning-Project-with-MLFlow

Workflow

1. Update config.yaml
2. Update schema.yaml
3. Update params.yaml
4. Update the entity
5. Update the configuration manager in src config
6. Update the components
7. Update the pipeline
8. Update the main.py
9. Update the app.py

How to Execute the Project

STEPS:

Clone the repository

https://github.com/Shoaib-Alauudin/End-to-End-Machine-Learning-Project-with-MLFlow

Step 1 - Create a conda environment after clone the repository

conda create -n ml_project_env python=3.8 -y

conda activate ml_project_env

STEP 2 - Install the Requirements

pip install -r requirements.txt

# Finally Execute the Following Command
python app.py

Now,

open up you local host and port

MLflow

Documentation

cmd

• mlflow ui

dagshub

dagshub

MLFLOW_TRACKING_URI=https://dagshub.com/Shoaib-Alauudin/End-to-End-Machine-Learning-Project-with-MLFlow.mlflow
MLFLOW_TRACKING_USERNAME=Shoaib-Alauudin
MLFLOW_TRACKING_PASSWORD=f42b27e81f01196ca6c58b286c047cc1585ebfd4
python script.py

Execute Below Commands to Export as Environment Variables:

export MLFLOW_TRACKING_URI=https://dagshub.com/Shoaib-Alauudin/End-to-End-Machine-Learning-Project-with-MLFlow.mlflow

export MLFLOW_TRACKING_USERNAME=Shoaib-Alauudin 

export MLFLOW_TRACKING_PASSWORD=f42b27e81f01196ca6c58b286c047cc1585ebfd4

AWS CICD Deployment with Github Actions

1. Login to AWS console.

2. Create IAM user for deployment

#with specific access

1. EC2 access : It is virtual machine

2. ECR: Elastic Container registry to save your docker image in aws


#Description: About the deployment

1. Build docker image of the source code

2. Push your docker image to ECR

3. Launch Your EC2 

4. Pull Your image from ECR in EC2

5. Lauch your docker image in EC2

#Policy:

1. AmazonEC2ContainerRegistryFullAccess

2. AmazonEC2FullAccess

3. Create ECR repo to store/save docker image

- Save the URI: 566373416292.dkr.ecr.ap-south-1.amazonaws.com/mlproj

4. Create EC2 machine (Ubuntu)

5. Open EC2 and Install docker in EC2 Machine:

#optinal

sudo apt-get update -y

sudo apt-get upgrade

#required

curl -fsSL https://get.docker.com -o get-docker.sh

sudo sh get-docker.sh

sudo usermod -aG docker ubuntu

newgrp docker

6. Configure EC2 as self-hosted runner:

setting>actions>runner>new self hosted runner> choose os> then run command one by one

7. Setup github secrets:

AWS_ACCESS_KEY_ID=

AWS_SECRET_ACCESS_KEY=

AWS_REGION = us-east-1

AWS_ECR_LOGIN_URI = demo>>  566373416292.dkr.ecr.ap-south-1.amazonaws.com

ECR_REPOSITORY_NAME = simple-app

About MLflow

MLflow

• Its Production Grade
• Trace all of your expriements
• Logging & tagging your model