From cf95c4836a57fa08b5fa304553c0d0dcf4a168d4 Mon Sep 17 00:00:00 2001 From: Ronil Patil <63307564+ronylpatil@users.noreply.github.com> Date: Tue, 7 May 2024 12:15:29 +0530 Subject: [PATCH] update README.md --- README.md | 26 +++++++++++++++++++++++--- 1 file changed, 23 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 99d40f7..14e2491 100644 --- a/README.md +++ b/README.md @@ -3,15 +3,35 @@ MLflow Pipeline Built E2E ML Pipeline with MLflow & AWS. -

Workflow

+## Workflow

Drawing

-

Blogs

+## Blogs - Part I - [Streamline ML Workflow with MLflow - I](https://medium.com/towards-artificial-intelligence/streamline-ml-workflow-with-mlflow%EF%B8%8F-part-i-60857cd511ed) - Part II - [Streamline ML Workflow with MLflow - II](https://medium.com/towards-artificial-intelligence/streamline-ml-workflow-with-mlflow-ii-daa8d50016f7) - Part III - [Configure DVC with Amazon S3 Bucket](https://medium.com/towards-artificial-intelligence/configure-dvc-with-amazon-s3-bucket-f6d57cd242d4) - Part IV - [Deploy MLflow Server on EC2 Instance](https://medium.com/towards-artificial-intelligence/deploy-mlflow-server-on-amazon-ec2-instance-b53d5eb3c4f3) -

Project based on the cookiecutter data science project template. #cookiecutterdatascience

+ +## Installation + +1. Clone the repository. +2. Install dependencies using `pip install -r requirements.txt` + +## Folder Structure +- `/.github`: Contains CI/CD workflow file. +- `/.dvc`: Contains configuration files of DVC +- `/data`: Stores raw and processed data. +- `/log`: Store the logs. +- `/src`: Contains the source code files. +- `/prod`: Production files. +- `/tests`: Testing files. + +## Dataset + +- Download the dataset from [here](https://www.kaggle.com/datasets/yasserh/wine-quality-dataset). + +--- +

Project based on the cookiecutter data science project template.