End 2 end Sentiment Analysis Project

This is an End 2 End project. That means I have not only trained a model created an pipline to train, evaluate and inference pipline. Used Flast to build a Rest api and deployed it in AWS . Created github actions for continuous integration and continuous deployment. Used MLFlow for model tracking and experiment tracking. Used DVC for pipeline tracking. Created a docker file for container creation.

inorder to use this project you can clone this repo from github how to install and run entiner documentation is provided in readme file.

Future Scope -

• In future I will create more of such projects in NLP and computer vision