My Projects Submission to Udacity's Deep Learning Nanodegree Program

Deep Learning Udacity Nanodegree - SageMaker Deployment of a Sentiment Analysis model

Second project of the Udacity Machine Learning Engineer Nanodegree program where a Plagiarism Detector is created using custom similarity features amongst source and answer file such as containment and longest common subsequence. Further, trained and deployed the model on Amazon Sagemaker.

Image Classifiers are used in the field of computer vision to identify the content of an image and it is used across a broad variety of industries, from advanced technologies like autonomous vehicles and augmented reality, to eCommerce platforms, and even in diagnostic medicine.

Deploying sentiment analysis model with Sagemaker trained on the IMDB dataset using LSTM in PyTorch

Part of Udacity Nanodegree

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.

Udacity DLND Project

Project from Deep Learning Nanodegree - Udacity

A part of Udacity Deep Learning Nanodegree Project

Deploying-a-Sentiment-Analysis-Model-on-Amazon-Sagemaker using Pytorch

Sentiment Analysis Model Deployment Using Amazon SageMaker

In this project we will construct a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. we will create this model using Amazon's SageMaker service. In addition, we will deploy our model and construct a simple web app which will interact with the deployed model.

An update to date SageMaker Version 2 Machine Learning endpoint building and connection with Kubernetes cluster backend with SageMaker Kubernetes Operators

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

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..

Udacity's Machine Learning Nanodegree Graded Project. Includes a binary classification neural network model for sentiment analysis of movie reviews and scripts to deploy the trained model to a web app using AWS Lambda.

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

Udacity Deep learning nanodegree projects