/Consignment-Product-Prediction

Using MLOps and ETL pipeline, an end-to-end machine learning model developed to forecast the Consignment Product.

Primary LanguagePythonMIT LicenseMIT

Consignment-Product-Prediction

Python 3.10 scikit-learnn

This project is going to focus on Consignment Product Prediction using the Machine Learning Algorithms, MLOps, CI/CD Pipeline, ETL Pipeline, Docker, DVC Pipeline, Apache Airflow, AWS S3 bucket, EC2 instance, Hadoop, HTML, CSS

• This repository consists of files required to deploy a Machine Learning Web App created with Flask on Heroku platform.

#Dataset Link: https://www.consumerfinance.gov/data-research/consumer-complaints/

Workflow Chart:

Flowcharts_consignment.png