Recurrent neural network implementation to determine the sentiment of a movie review using an IMDB data set.

Sentiment Analysis : PyTorch Implementation, Tensorflow Keras Implementation

AWS Sagemaker service was used to build, train and deploy Artificial Neural Network on AWS cloud. Created S3 bucket to store dataset and trained model.

This repo contains the first project of Udacity Machine Learning Engineer NanoDegree program.

machine learning model to predict whether a customer will enroll for a certificate of deposit based on past customer behavior.

This project focuses on building end-to-end machine learning pipeline using AWS SageMaker to predict the price range of mobile phones based on their specifications, enhancing consumer decision-making and streamlining the development process.

Sentiment Analysis Web App is an RNN performing sentiment analysis on movie reviews complete with publicly accessible API and a simple web page that interacts with the deployed endpoint. This is built using AWS SageMaker, AWS Lambda, and AWS API Gateway.

Build , Train and Deploy Machine Learning Model Using AWS SageMaker . Handled Version Controlling and Cost-Efficient by flushing Endpoints at the final Stage

My project submissions to Udacity's Deep Learning Nanodegree Projects

A project that has been done at the Udacity Machine Learning Engineering Nanodegree "Advanced Machine Learning".

Movie review sentiment analysis application trained and deployed on AWS. End-to-end development and deployment process using AWS Sagemaker, Lambda, API Gateway

Deep Learning Nanodegree Project 5 | Deploying a Sentiment Analysis Model

This repository outlined how to deploy your trained model (bring your own model) to deploy on Amazon SageMaker

The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.

10 learning projects using AWS SageMaker.

Web app that predicts the sentiment of user submitted text. Built with AWS Sagemaker.

Project from Deep Learning Nanodegree - Udacity

Python CDK stack for network infrastructure for SageMaker VPC only mode.

As last Udacity Deep Learning Nanodegree project...we build a we app (http://webhome.auburn.edu/~cae0027/resources/sentiment-analysis/deployed.html) to classify movie review as either POS or NEG. The app sends requests to AWS Sagemaker hosted Sentiment Analysis model, gives feedback to the user through an Endpoint API..

Predicts if a customer will delinquent using ML classification models