juanlurg / nanodegre-deploy-sentiment-analysis

First project from Machine Learning Engineer Nanodegree

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

SageMaker Deployment Project

This is the first project of Udacity's Machine Learning Engineer Nanodegree, we are using Pytorch to develop a neural network to predict if movie reviews are positive or negative using historical IMDB reviews dataset.

Project Status: Deployed

Project Intro

The purpose of this project is to predict the sentiment of a movie review using a neural network but also to deploy it in Amazon AWS to have an API for predictions with a web-app.

Methods used

  • LTSM
  • RNN
  • CountVectorizer
  • Bag of words
  • Tokenization

Technologies

  • Jupyter Notebook (Sagemaker Notebook Instance)
  • AWS Custom Models deployment
  • AWS Sagemaker Endpoints
  • AWS Lambda functions
  • AWS API Gateway

Notebooks

About

First project from Machine Learning Engineer Nanodegree


Languages

Language:Jupyter Notebook 87.2%Language:Python 10.9%Language:HTML 2.0%