This project leverages AutoGluon in AWS SageMaker Studio to predict bike sharing demand, automating model training and tuning for accurate forecasting.

Building a scalable and safe image classification model on Amazon Sagemaker implemented with AWS Lambda Functions for supporting services and AWS Step Functions to merge them into an an event-driven application

Build a ML Workflow for Sones Unlimited

Plagiarism Detection is a Python-based project that aims to identify potential cases of plagiarism in textual documents. This project provides a useful tool for educators, researchers, and content creators to detect and prevent academic and intellectual property violations.

Operationalizing an AWS ML Project

This project aims to predict bike sharing demand with AutoGluon

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.

This repository is create SageMaker model and invoke endpoint.

Deploying a neural network that predicts the sentiment of a user-provided movie review. In addition, create a simple web app that uses the deployed model.

L'objectif de ce projet est de développer un outil d' aide à la décision pour les banques permettant de vérifier l’authenticité de la signature d'identifier les chèques falsifiés.

AWS Health AI Hackathon 2022

Project for Deep Learning Nanodegree, unit 6 (Deploying a Model).

In this project, I created a Sentiment Analysis Web App using PyTorch and SageMaker. This project is part of the deep learning nanodegree program at udacity. Project Overview In this project, I constructed a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. Used Amazon's SageMaker se…

RF Signals ML demo with SpectrumSens system for hackathon AWS Disaster Response.

Projects implemented as part of the Udacity deep learning Nanodegree program.

Deploying a Pytorch model in Amazon SageMaker and connecting a web app to it

This is Project 5 in Udacity - Deep Learning Nanodegree

AWS Machine Learning Engineer Scholarship Program